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Senior Legal Counsel – Renewable Energy | In-House | Chicago, IL

Reports To: General Counsel

Company: SunVest Solar, LLC

Location: Chicago, IL (Onsite)

Employment Type: Full-Time

Compensation: Competitive Base Salary ($170k–$205k) + Discretionary Bonus + Comprehensive Benefits

About SunVest:

SunVest Solar, LLC ("SunVest") is a rapidly growing, Chicago-based renewable energy company focused on distributed generation solar power and battery energy storage systems (BESS). With more than 2 gigawatts of development projects nationwide and a growing operational portfolio expected to exceed 200 MW by 2026, SunVest is shaping the future of clean energy in the United States.

As a fully integrated renewable energy platform, SunVest develops, constructs, finances, owns, and operates solar and storage assets across the country. This integrated model allows our in-house legal team to engage across the entire project lifecycle—from site control and development through construction, project finance, tax equity, and long-term asset management.

Position Overview:

SunVest's Legal team is responsible for providing comprehensive legal support across the organization, ensuring the company's operations comply with applicable laws and regulations, and facilitating our ambitious growth plans through strategic legal counsel.

As the Senior Legal Counsel, you will be responsible for leading and supporting key legal aspects of SunVest's project finance and development activities and will act as a strategic partner to the business. You will manage outside counsel efficiently to mitigate risk and reduce cost of capital. Your expertise in project finance negotiations will be pivotal to SunVest's ongoing success, contributing to our sustainable growth strategy and the development and execution of renewable energy projects nationwide.

Key Responsibilities:

Project Finance Negotiations

• Lead and manage the structuring, negotiation, and execution of project finance transactions, including debt and tax equity financing, to support SunVest's solar development projects
• Ensure all financing arrangements comply with applicable laws and regulations

Real Estate Agreements

• Negotiate and draft real estate agreements, including land leases, easements, and site control agreements, to support solar project development

Commercial Agreements

• Oversee negotiation and execution of commercial agreements, including supply and purchase agreements, engineering, procurement, and construction (EPC) contracts, and power purchase agreements (PPAs)

Risk Mitigation

• Identify and mitigate legal risks related to project finance, real estate, and commercial transactions
• Provide practical legal solutions to ensure compliance with regulatory requirements

Stakeholder Coordination

• Collaborate with Development, Finance, and Operations teams to understand project and business needs and deliver effective legal support

External Counsel Management

• Manage relationships with external legal counsel to ensure efficient, high-quality, and cost-effective legal services
• Oversee legal budgets related to project-specific matters to optimize legal spend and reduce cost of capital

Regulatory Compliance

• Monitor and advise on regulatory matters impacting renewable energy projects, including ITCs, beginning of construction requirements, tariffs, and Foreign Entity of Concern (FEOC) considerations

Qualifications

• Minimum of 4 years of legal experience with significant exposure to project finance and renewable energy transactions
• Prior experience at a top-tier law firm (e.g., AmLaw 100) preferred.
• Proven ability to collaborate cross-functionally and act as a trusted business partner
• Strong communication skills, with the ability to explain complex legal issues to non-legal stakeholders
• Highly organized, adaptable, and solutions-oriented
• Active bar admission in good standing

Compensation & Benefits

• Competitive base salary commensurate with experience
• Bonus opportunities
• 401(k) with employer match
• Health, vision, and dental insurance
• Paid time off including company holidays
• Opportunity for advancement within a fast-growing renewable energy company

Join SunVest in leading the charge to cultivate access to renewable energy for America!

SunVest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.

SGS is the global leader and innovator in inspection, verification, testing and certification services. Founded in 1878, SGS is recognized as the global benchmark in quality and integrity. With over 97,000 employees in 130 countries and operating a network of more than 2,400 offices and laboratories, we provide services to almost every industry by assuring quality and safety of products and services.

Trusted all over the world, SGS is a market leader because we put 100% passion, pride and innovation into everything we do. We encourage new ideas. We welcome people who challenge the way we do things. And we will be 100% committed to helping you reach your full potential.

QA Engineer

General Description: Responsible for testing Android applications to ensure quality, performance, and usability. Executes manual and automated tests, identifies defects, and works with developers to resolve issues across devices and OS versions.

- Starting compensation is based on experience.
- No H1 Sponsorship.
- Must Already be in Chicago, IL or willing to relocate at own cost

Primary Responsibilities/Tasks:

• Conduct Google compliance testing to ensure adherence to Google Play policies, Android compatibility requirements, and certification standards.
• Identify, document, and track defects using defect management tools; verify fixes and ensure proper resolution.
• Collaborate with developers, product managers, and cross-functional teams to clarify requirements and test scenarios.
• Support lab testing environments, including device setup, configuration, and maintenance.
• Ensure compliance with internal quality standards and lab conformance requirements.
• Provide customer-facing lab support, including issue replication, troubleshooting, and validation.

Work Experience Requirements:

• 1+ years of experience in Android mobile application testing.
• Strong understanding of Android OS architecture, device fragmentation, and app lifecycle.
• Experience with automation tools (e.g., Appium, Espresso).
• Experience with ADB, Logcat, and debugging tools.
• Knowledge of Agile/Scrum methodologies.
• Strong analytical, troubleshooting, and communication skills
• Experience in testing Android applications to ensure quality, performance, and usability. Executes manual and automated tests, identifies defects, and works with developers to resolve issues across devices and OS versions: 1+ years (Preferred)

Education Requirements: Bachelor of Science in related engineering major (EE, CE, etc.)

The Ideal Candidate. At ArcLight Wireless, our strength comes from a diverse group of talented, creative, and ambitious professionals. An exceptional candidate will possess experience in testing Android applications to ensure quality, performance, and usability. Executes manual and automated tests, identifies defects, and works with developers to resolve issues across devices and OS versions.

Ability to commute/relocate:

• Chicago, IL: Reliably commute or planning to relocate before starting work (Required)

Applicants have rights under Federal Employment Laws:

Type: Full-time

Benefits:

• 401(k)
• Health insurance
• Paid time off

Compensation

The expected salary range for this position is $48,000-$52,000 per year. This range represents the minimum and maximum base salary we reasonably expect to pay for this role. Actual compensation within the range will depend on skills, experience, and qualifications.

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role.

• Health: Medical, dental and vision insurance, life insurance, employee assistance programs.
• Wealth: In addition to base pay, we offer 401(k) with company match (immediate vesting upon enrollment).
• Happiness:
  • Professional Growth: Online training courses, virtual and classroom development experiences, tuition reimbursement program
  • Work-Life Balance: Paid-time off and family leave

In compliance with applicable state and local pay transparency laws, we provide clear and equitable compensation information for all applicants.

Position anticipated to close May 4, 2026.

Additional information

SGS is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, sexual orientation, gender identity or expression, genetics, status as a protected veteran, or any other characteristics protected by law.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skills, and/or abilities required.

This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts the company's rights to assign or reassign duties and responsibilities to this job at any time.

If you are applying for a position within the United States and you have difficulty completing the on-line employment application because of a disability, please call 2 for assistance and leave a message. You will receive a callback. Please note, this phone number is not for general employment information but is only for individuals who are experiencing difficulty applying for a position due to a disability.

Our client is seeking an experienced Field Service Engineer to join their growing technical team. This is an exciting opportunity for engineers at all levels — whether you are early in your career or bring substantial field experience, you will be given the appropriate challenge and support to thrive.

You will take ownership of post-sales technical support across a portfolio of CNC machining equipment, working directly with end-user clients to ensure their machinery operates at peak performance.

Key Responsibilities

• Deliver post-sales technical support, including installation, commissioning, testing, adjustment, troubleshooting, repair, and upgrading of CNC machining equipment and peripherals.
• Plan and coordinate service activities — investigating and resolving customer-reported technical issues and proactively eliminating future operational difficulties.
• Examine machinery, components, and work orders; liaise with equipment operators to diagnose problems and determine whether faults are mechanical or human in origin.
• Analyse all available technical information to identify root causes and recommend or implement appropriate corrective actions.
• Work both independently and collaboratively as part of a wider engineering team, effectively coordinating workloads and priorities.
• Provide technical guidance to management and factory engineers on equipment defects, customer satisfaction issues, product performance, and product improvement suggestions.

Candidate Requirements

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, or Engineering Technology (or equivalent experience).
• Minimum of 2 years' experience within a machine tool environment.
• Working knowledge of Fanuc machines and CNC control systems.
• Understanding of PLC systems and schematics.
• Ability to operate a forklift truck and manual lifting equipment.
• Proficient in Microsoft Office Suite.

Overview

The Sr Design Engineer will work in a cross-functional that designs, develops, manufactures, and services tankless water heaters, boilers, and other products. Knowledge of building the entire system as well as individual components is preferred.

Build, assemble, test prototypes, and put together the entire system. Hands-on work and prior exposure to castings, sheet metals, O-rings, water & gas manifolds are necessary. Identify, develop, and manage select suppliers with a variety of the field's concepts, practices, and procedures.

Responsibilities

• Develop, coordinate, and monitor all aspects of the product
• Suggest methods to improve operational efficiency
• Work cross-functionally with different teams and organizations

Qualifications

• Bachelor's degree in Mechanical Engineering or equivalent Ability to read and understand designs and schematics
• Strong problem solving and critical thinking skills
• Ability to multi-task, organize, and prioritize work

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‐on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‐grade engineering, multi‐agent architectures, cloud platform strategy, and the development of Launch's AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Overview:

As a Product Owner in Affinity Solutions Technology (AST) you will lead a cross-functional agile team implementing technology solutions for Securian's Affinity Solutions and Securian Canada markets. AST teams demonstrate passion for delivering innovative solutions for clients, customers, and internal partners, driven by creative problem-solving skills, strong collaboration, and analytical abilities.

You need to be passionate about delivering business value through technology while remaining flexible to adapt to evolving and emerging needs. You will partner with stakeholders to define your team's strategy and roadmap, owning your team's prioritization and delivery. You will work closely with your team, other Product Owners, business stakeholders, engineering leaders, and technology partners to deliver solutions using a blend of methodologies.

Responsibilities include but not limited to:

• Partners with the business to build trust and translate operations, customer needs, and technology into impactful digital solutions-resolving trade-offs, managing risks and dependencies, creating and driving product roadmaps with a focus on measurable outcomes, and communicating transparently.

• Maintains a backlog to prioritize work/stories for the team by synthesizing all relevant data, research and any other available information.

• Engages stakeholders through ongoing collaboration to understand evolving customer needs, advocate for the business, and share insights with teams to drive alignment and optimal outcomes.

• Leverages emerging best practices and market trends to drive operational efficiencies and align technology strategies with business goals.

• Uses all available resources (e.g., analytics, reporting, surveys, ethnographic research, qualitative data, usability testing) to understand product performance and customer satisfaction.

• Effectively communicates product value through storytelling, connecting to business/customer impact and engages stakeholders in strategic decisions to optimize outcomes.

• Cross functional understanding of how their work integrates with other business workstreams and initiatives.

• Understands how to leverage team effectiveness metrics (e.g., velocity/cycle time) to drive value.

• Contributes to strategic product decisions by incorporating total cost of ownership and providing input into operating budget planning.

• Participates in governance meetings and communicates technical and business product status and progress with senior leaders.

• Creates product delivery commitments such as service level agreements and BCM plans to support resiliency requirements.

• Engages in product discovery efforts to identify strategic opportunities.

• Proactively develops and demonstrates advanced knowledge of and experience with the technical product(s) and is conversant in the product architecture to drive growth and improve customer experience.

• Directly responsible for implementation, configuration, and/or continuous improvement of a technical product based on value

• Anticipates and identifies new product opportunities to drive value. Provides input and leads the design of meaningful tests and learning opportunities.

• Ensures project delivery is in conformance with company methodologies and standards; leads and provides guidance for project management for initiatives, ensuring business objectives are met and business benefits are delivered.

Qualifications:

• Working knowledge of agile practices. Understands the fundamentals of iterative development, incremental delivery, backlog management, burndown metrics, velocity, and task definition.

• Leadership skills to gain credibility, garner respect, guide the creation of a self-organizing team, being assertive with business priorities and opposing viewpoints while adhering to agile concepts and principles.

• Ability to influence teams to deliver great customer experience without direct authority.

• Working knowledge of Product Management practices.

• Strong communication, facilitation, and interpersonal skills to engage agile team and stakeholders, facilitate discussions, negotiate, and resolve conflict.

• Strong analytical and critical-thinking skills, creative problem-solving skills, and attention to detail.

• Ability to work with minimal direction, flexibility to adapt to shifting priorities and schedules, handle multiple issues simultaneously, and manage stressful situations for self and team.

• Strong knowledge of technology and architectural principles to drive implementation of scalable, maintainable, and resilient solutions.

Preferred Qualifications:

• Proven track record as a Product Owner or individual contributor responsible for value and viability of technology solutions.

• Proven track record working in an agile environment while delivering results based on effective prioritization.

• Experience with stakeholder management and collaboration.

• Ability to quickly learn new domains and adapt to changing business needs.

• Knowledge of product and project and portfolio management best practices.

• Ability to communicate effectively with diverse audiences including executives, customers, and technical teams.

• Experience identifying critical emerging business needs and service challenges and ability to quickly and effectively shift/coordinate resources to deliver immediate impact.

• Proven ability to engage with both individual contributors and leaders of the highest levels in constructive and collaborative relationships.

• Demonstrated results of gaining credibility, gaining respect and building trust, guiding the creation of self-organizing teams and being assertive with business priorities and opposing viewpoints while adhering to agile concepts and principles.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

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Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.

ProSidian is a Management and Operations Consulting Services Firm focusing on providing value to clients through tailored solutions based on industry leading practices. ProSidian services focus on the broad spectrum of Risk Management, Compliance, Business Process, IT Effectiveness, Energy & Sustainability, and Talent Management. We help forward thinking clients solve problems and improve operations.

Launched by former Big 4 Management Consultants; our multidisciplinary teams bring together the talents of nearly 190 professionals globally to complete a wide variety of engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes. Our Services are deployed across the enterprise, target drivers of economic profit (growth, margin and efficiency), and are aligned at the intersections of assets, processes, policies and people delivering value.

ProSidian clients represent a broad spectrum of industries to include but are not limited to Energy, Manufacturing, Chemical, Retail, Healthcare, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government Agencies.

ProSidian Seeks a Administrative Support IV - Operations headquartered near CONUS - Washington, DC (Remote) to support requirements for Energy & Environmental Management Industry (Nuclear | Oil & Gas | Power & Utilities | Distribution Engineering) Sector Clients.

This CONUS - Washington, DC (Remote) | Junior Consultant - Full-Time position currently best aligns with the Administrative Support Labor Category. Ideal candidates exhibit the ability to visualize, analyze, and convert data and experiences to meet performance challenges while confidently engaging in productive \"Jugaad\" and dialogue targeting mission success. ProSidian Team Members work to provide Energy Industry (Oil & Gas / Power & Utilities) Sector related Management And Operations Consulting Solutions for Nuclear Industry Advisory and Assistance (A&A) Services Support (Support to Fuel Cycle Campaigns) Services on behalf of The US Department of Energy (DOE-ID).

Administrative Support IV - Operations (NOA051) Candidates shall work to support requirements for (Operations Services) and Provides administrative support to technical and management level personnel. Includes, but is not limited to, project administration, planning and coordination, documentation and briefing support, general office support, secretarial support, human resource support.

Examples of General Responsibilities

• Coordinates and plans project / office administration and support.
• Provides general office support, documentation support, project administration, administrative and secretarial support, and human resource support.
• Supports project financial tracking and reporting requirements including project control and account resolution
• Performs other administrative and support functions as assigned.

Administrative Level IV Candidates shall have relevant Energy & Environmental Management Industry (Nuclear | Oil & Gas | Power & Utilities | Distribution Engineering) Sector Experience particularly with background, experience, and credentials to perform Nuclear Industry Advisory and Assistance (A&A) Services Support (Support to Fuel Cycle Campaigns) for Engineering Services on behalf of clients such as U.S. Dept. Of Energy Idaho Operations Office - Nuclear Energy's (NE) Office of Fuel Cycle Technologies supplemented by a High School or Equivalent Education and 10 Yrs. - 12 Yrs. Experience.

Teamwork ability to foster teamwork collaboratively as a participant, and effectively as a team leader Leadership ability to guide and lead colleagues on projects and initiatives Business Acumen understanding and insight into how organizations perform, including business processes, data, systems, and people Communication ability to effectively communicate to stakeholders of all levels orally and in writing Motivation persistent in pursuit of quality and optimal client and company solutions Agility ability to quickly understand and transition between different projects, concepts, initiatives, or work streams Judgment exercises prudence and insight in decision-making process while mindful of other stakeholders and long-term ramifications Organization ability to manage projects and activity, and prioritize tasks

Business Tools understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint and Word, and proficient with Adobe Acrobat, data analytic tools, and Visio with the ability to quickly learn other tools as necessary. Commitment - to work with smart, interesting people with diverse backgrounds to solve the biggest challenges across private, public and social sectors Curiosity the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together Humility exhibits grace in success and failure while doing meaningful work where skills have impact and make a difference Willingness - to constantly learn, share, and grow and to view the world as their classroom

ProSidian Employee Benefits and Highlights: Your good health and well-being are important to ProSidian Consulting. At ProSidian, we invest in our employees to help them stay healthy and achieve work-life balance. That's why we are also pleased to offer the Employee Benefits Program, designed to promote your health and personal welfare. Our growing list of benefits currently include the following for Full Time Employees:

Competitive Compensation: Pay range begins in the competitive ranges with Group Health Benefits, Pre-tax Employee Benefits, and Performance Incentives. For medical and dental benefits, the Company contributes a fixed dollar amount each month towards the plan you elect. Contributions are deducted on a Pre-tax basis. Group Medical Health Insurance Benefits: ProSidian partners with BC/BS, to offer a range of medical plans, including high-deductible health plans or PPOs. Group Dental Health Insurance Benefits: ProSidian dental carriers - Delta, Aetna, Guardian, and MetLife. Group Vision Health Insurance Benefits: ProSidian offers high/low vision plans through 2 carriers: Aetna and VSP. 401(k) Retirement Savings Plan: 401(k) Retirement Savings Plans help you save for your retirement for eligible employees. A range of investment options are available with a personal financial planner to assist you. The Plan is a pre-tax Safe Harbor 401(k) Retirement Savings Plan with a company match. Vacation and Paid Time-Off (PTO) Benefits: Eligible employees use PTO for vacation, a doctor's appointment, or any number of events in your life. Currently these benefits include Vacation/Sick days 2 weeks/3 days | Holidays - 10 ProSidian and Government Days are given. Pre-Tax Payment Programs: Pre-Tax Payment Programs currently exist in the form of a Premium Only Plan (POP). These Plans offer a full Flexible Spending Account (FSA) Plan and a tax benefit for eligible employees. Purchasing Discounts & Savings Plans: We want you to achieve financial success. We offer a Purchasing Discounts & Savings Plan through The Corporate Perks Benefit Program. This provides special discounts for eligible employees on products and services you buy on a daily basis. Security Clearance: Due to the nature of our consulting engagements there are Security Clearance requirements for Engagement Teams handling sensitive Engagements in the Federal Marketplace. A Security Clearance is a valued asset in your professional portfolio and adds to your credentials. ProSidian Employee & Contractor Referral Bonus Program: ProSidian Consulting will pay up to 5k for all referrals employed for 90 days for candidates submitted through our Referral Program. Performance Incentives: Due to the nature of our consulting engagements there are performance incentives associated with each new client that each employee works to pursue and support. Flexible Spending Account: FSAs help you pay for eligible out-of-pocket health care and dependent day care expenses on a pre-tax basis. Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you have the option to elect supplemental life insurance. D&D covers death or dismemberment from an accident only. Short- and Long-Term Disability Insurance: Disability insurance plans are designed to provide income protection while you recover from a disability.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA