Skills Needed For Coding Jobs in Usa

• 
  
• 75% Determines methodology to identify cases for validation review. Conducts validation reviews/coordinates rates adjustments with appropriate claims area. Creates monthly/quarterly reports to present to each line of business providing information on records review, outcomes, trends, and savings that directly impact medical costs and contracting rates.
  
• 15% Manages records retrieval, release, HIPAA compliance, and all aspects of document management.
  
• 10% Serves as expert resource on methodology and procedures for medical records and coding issues.
  

Currently seeking multiple Full Stack Developers in support of the of U.S. Citizenship and Immigration Services (USCIS) Engineering Support for Identity Services (ESIS), this individual will support Agile Application Development technologies and capabilities in the areas of software development, systems engineering, integration, and test of software applications and infrastructure. Will be skilled with front-end, back-end, and database development. Design and implement full stack cloud solutions to include IaaS, PaaS, and SaaS. Design and deploy computing infrastructure, physical or virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks. Implement cloud-based platform services for AWS. Implement cloud-based software as service for AWS. Perform DevOps functions.

Key Skills:

• 10+ years of experience with full stack engineering with proficiency in database development/integration as well as server and client application development/integration
• Software developing experience using Python and Java Spring framework
• Experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• AWS experience required with experience deploying enterprise applications in AWS
• Experience with CI/CD environment tools such as Docker, Jenkins, Ansible, Kubernetes

• Software development with Python, Java, React, and various scripting languages
• Design data models and web APIs and creation of software tasks from system requirements
• Perform requirements analysis, design, development, unit, and integration testing of software, troubleshooting and debugging of the system
• Immediate responsibilities will include enhancing and maintaining the existing system as well as design, development, and documentation of new features
• Create Git Releases, pull request and code reviews
• Query logs utilizing Splunk and will monitor dashboarding utilizing New Relic
• Usage of Atlassian Tools for day to day tasks within the Scrum process
• Implement web services, data persistence access features and external interfaces
• Partner closely with front-end and database engineers to ensure features are developed holistically
• Follow Agile software development methodology and team architecture standards.
• Will need to be able to read Architecture Diagrams
• Perform test service to improve code coverage, mocking services, test driven development and unit testing
• Will modify Helm Charts, Jenkinsfiles, and Dockerfiles

• MUST BE US CITIZEN
• Bachelor's degree required
• Must be able to obtain and maintain a Public Trust security clearance
• 10+ years expereince in Software Engineering
• Must have experience in Python and Java Spring Framework (Boot, Batch, Data, Security)
• Must have experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• Experience with design, development, enhancement, troubleshooting and debugging of web applications
• Must have experience in AWS cloud environment and with CI/CD tools (ie. Docker, Jenkins, Kubernetes) for deployment processes, monitoring production environments, and modifying docker/Jenkins files and helm charts
• Experience with scripting languages (Python, Bash, Powershell, Perl) is not required but nice to have
• Understanding of the concept of branching and utilizing technological tools such as Git, VS Code, and/or Rancher to perform
• Experience with creating Git releases, creating pull requests, and reviewing code
• Experience monitoring dashboards utilizing New Relic
• Experience with Splunk to query logs
• Experience with Junit testing preferred
• Experience creating release instructions utilizing JIRA
• Experience developing and integrating complex software systems through the full SDLC
• Experience with Agile Scrum
• Must have strong written and verbal communication skills

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Job Title: React Native Engineer

Location: Newark, NJ (Hybrid)

Duration: 6+ Months

• 
  
• Work collaboratively with Brand, Design/Creative, Product, Accessibility, User Research, Analytics and Technology SMEs.
  
• Create and maintain mobile branding, themes, components, modules, patterns and templates as reusable libraries, test automations and documentation.
  
• Adhere to clients Brand, Design, Engineering and Accessibility guidelines and standards.
  
• Provide leadership on implementing and improving mobile platform coding standards, tools and workflow.
  
• Prioritize and orchestrate the work of others.
  
• Consult closely with Product teams who develop full mobile native applications.
  

What You'll Need:

• 
  
• Must have experience in an agency environment or regulated industry (financial services preferred).
  
• Must possess at least 5 years of iOS and Android development experience. Use of React Native is mandatory; occasional lower-level Swift/Gradle interoperability is a plus.
  
• Must have experience coding, publishing and maintaining mobile libraries over several major versions.
  
• Have solid experience coding and supporting automated tests against UI libraries (Vitest/Jest preferred) and high-value journey flows (Appium or equivalent).
  
• Must have experience crafting accessible experiences including interactions with assistive technologies.
  
• Must have experience with Figma, possess strong design-thinking and be comfortable working in a design-led product development environment.
  
• Additional pluses include the use of Storybook, Figma Code Connect, BrowserStack/Saucelabs for visual and automated QA, mainstream AI agents, and Github Actions (or equivalent).
  
• Have experience mentoring junior associates and facilitating a "we win together" ethos.
  

Hi Rameez here from Beaconfire. I hope you're doing well! We’re currently hiring for an exciting MERN/MEAN Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.

About the Company

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for candidates with a strong background in Software Engineering or Computer Science for a Python/Node Developer position.

About the Role

The role involves developing websites and writing scalable, secure, maintainable code while collaborating with team members to achieve project goals.

Responsibilities

• Develop websites using HTML, CSS, Node.js, React.js, and Angular2+, among other tools;
• Write scalable, secure, maintainable code that powers our clients’ platforms;
• Create, deploy, and maintain automated system tests;
• Work with Testers to understand defects opened and resolves them in a timely manner;
• Supports continuous improvement by investigating alternatives and technologies and presenting these for architectural review;
• Collaborate effectively with other team members to accomplish shared user story and sprint goals;
• Invest time in constant professional development to stay up to date with new technological development and programming languages;
• Discover and fix programming bugs;
• Other duties as assigned.

Qualifications

• Proficient understanding of HTML and CSS;
• Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
• Basic knowledge of code versioning (e.g. Git, SVN);
• A passion for coding pixel perfect web pages;
• Good verbal communication and interpersonal skills.

Required Skills

• Proficient understanding of HTML and CSS;
• Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
• A passion for coding pixel perfect web pages;
• Good verbal communication and interpersonal skills.

Preferred Skills

• Bachelor's degree or higher in Computer Science or related fields;
• 0-1 year of practical experience in JavaScript coding;
• Familiarity with at least one JavaScript framework (Angular2+, React.js, Express.js);
• Experience with unit and integration testing of code, with an understanding of JavaScript testing frameworks like Jasmine, Cucumber, Mocha, and Karma;
• Experience providing REST/SOAP APIs for user interface consumption;
• Experience working within an Agile development methodology Scrum.

BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).

```

Apply here: (s) Ruru Hoong, Anya Shchetkina, and Jimin Nam (MIT Sloan) are seeking motivated and detail-oriented individuals to work as full-time pre-doctoral researchers. The position involves close collaboration with 1-2 faculty members (depending on research interests) on empirical research projects related to digital technologies, advertising, and AI. You will contribute at all stages of the research process — from data collection and cleaning to analysis and writing. Some structural modelling or applied ML methods development may be involved if of interest.

Active and planned research projects include: 

• The design of information for human-AI collaboration
• The impact of generative AI on worker productivity, task allocation, and organizational design
• The design of AI-driven hiring tools, such as optimizing voice-AI interviews for candidate screening
• Youth, social media, and smartphones
• The effects of AI on education and learning, including adaptive AI tutoring and path dependence in AI product rollout
• AI and wellbeing, including how generative AI tools affect individual and worker wellbeing
• Household and business surveys on electricity in Ghana
• Mechanization and preferences - marketing in 19th Century tea
• Measuring advertising effectiveness with aggregate data
• Experimental design under privacy constraints
• Identifying limits of targeting and personalization effectiveness 

Methods used across these projects include randomized controlled trials, experiments, machine learning, natural language processing, large language models, probabilistic ML, and adaptive learning (bandits and Bayesian optimization).

A core goal of the position is to prepare you to apply to and succeed in PhD programs in marketing, economics, management, operations or related fields. We will work together to develop your research skills — beginning with careful research workflow and attention to detail, and progressing toward more independent analysis over time. We will also collaborate on other elements of your preparation, including independent research, letters of recommendation, and coursework planning. You will be encouraged to attend seminars and engage with the broader research community at MIT Sloan and across MIT.

You do not need to arrive with a polished skill set; the purpose of a predoc is to also help you develop that training. What matters most is a genuine interest in these research questions, a willingness to learn, and the determination to see difficult problems through. 

Principal responsibilities

• Collect, clean, and manage large-scale quantitative and qualitative datasets across active research projects related to marketing, digital economics, and AI
• Conduct empirical analysis using methods such as causal inference, machine learning, NLP, and experimental design
• Contribute to all stages of the research process — from literature review and data collection through analysis and writing
• Design and implement surveys and experiments using tools such as Qualtrics and oTree
• Write, review, and maintain reproducible research code in Python, R, or Stata, including responsible use of AI coding tools
• Other duties as needed

Qualifications

• A Bachelor's degree with strong grades, ideally in a quantitative field
• Comfort with or eagerness to learn programming (Python, R, or Stata) and experimental tools (Qualtrics, oTree)
• Willingness to experiment with AI coding tools (e.g., Claude, Cursor, Copilot) while maintaining a healthy skepticism — you should be prepared to understand and review every line of code these tools generate
• A long-term interest in pursuing a PhD in marketing, economics, management, operations, or a related field.
• A familiarity with causal inference or Bayesian statistics is welcome but not required
• Prior research experience is a plus but not a prerequisite
• Careful attention to detail — the kind of person who double-checks a merge and notices when a number doesn't look right
• Curiosity, initiative, and the persistence to work through open-ended problems
• The ability to work independently
• Visa sponsoring will not be available for this position. Candidates should have authorization to work in the US for the duration of the appointment. 

The position is located at the MIT Sloan School of Management in Cambridge, Massachusetts. The default start date is July 1, 2026, with some flexibility to begin earlier or later. The position typically lasts 1-2 years prior to entering a PhD program. Salary is competitive with other pre-doctoral research positions (50-63k). Applications will be reviewed on a rolling basis.

Application Instructions

If you are interested, please submit the following:

• A one-page cover letter describing your background, research interests, coding experience, and future goals. Please indicate which of the research areas listed above interest you most and why.
• A CV
• A transcript
• A writing sample — a research paper, term paper, or thesis that reflects your analytical abilities
• (optional) A code sample you have written, with a brief summary of what it does and the outputs it produces
• The names and contact information of two references
• Applications will be reviewed on a rolling basis starting early March until the position(s) are filled.

** To comply with regulations by the American with Disabilities Act (ADA), the principal duties in position descriptions must be essential to the job. To identify essential functions, focus on the purpose and the result of the duties rather than the manner in which they are performed. The following definition applies: a job function is essential if removal of that function would fundamentally change the job.

Candidates must be U.S. Citizens or Green Card holders ONLY.

Location: Columbus, OH (must live locally or be willing to relocate)

ComResource is looking for a Senior Full-Stack Engineer to join our high-performing agile development team. In this role, you’ll work across all layers of complex software applications, contributing both as a hands-on developer and a collaborative team member.

As a senior engineer, you will lead key initiatives, help define engineering best practices, and support your peers through complex technical challenges. You’ll be the go-to expert for critical features and components, playing a central role in delivering technology solutions that are safer, more efficient, and more cost-effective.

Key Technologies: Java, Spring Boot, JavaScript/React, REST APIs, Cloud platforms (AWS preferred)

Essential Duties & Responsibilities:

Software Development

• Develop high-quality software features and components that integrate into complex solutions.
• Write code that is well-structured, readable, maintainable, testable, and performant using standard software craftsmanship techniques.
• Participate in sizing decisions and complexity evaluations for initiatives.
• Pair with other engineers and apply clean-code practices to produce high-quality work.

Testing & Quality Assurance

• Create comprehensive testing strategies, including performance, security, regression, and automation testing.
• Develop unit, integration, and automated acceptance tests based on requirements.
• Build automated tests for both positive and negative scenarios.
• Utilize test-driven development (TDD) to guide implementation and coach peers on TDD and testing best practices.

Data Management, Infrastructure & Integrations

• Define data storage and access strategies and make informed design decisions using knowledge of data modeling, storage, and transmission.
• Apply basic ML and data analytics understanding to maximize business value through data transformation.
• Design system integration strategies leveraging cloud and managed services.
• Utilize infrastructure-as-code concepts to design reusable modules, support container orchestration, and assist with data migration.

Operations

• Build highly dependable features and systems using operational best practices such as monitoring, logging, metrics, and system-health visibility.
• Advocate for and contribute to deployment automation and operational excellence.
• Manage build pipelines and write code to collect, monitor, and display key metrics.

Security & Compliance

• Develop software with a security-first mindset using knowledge of security protocols, secure coding techniques, and protection of sensitive information (including PHI).
• Proactively identify and mitigate potential security threats.
• Implement basic security safeguards and leverage threat modeling for system-level security.

Product & User Experience

• Build features with a strong focus on usability and user experience.
• Enhance user-facing applications, create reusable interaction patterns, and support UI/UX best practices.
• Translate design goals into functional, user-facing implementations.
• Address technical and design debt based on priority and impact.

Requirements & Design

• Collaborate with stakeholders to understand business context and communicate technical considerations.
• Write detailed technical stories that translate business needs into clear, actionable specifications.
• Apply architectural guidance to new challenges and make cost-effective feature design decisions.

Required Skills & Experience:

• Minimum of 6 years of professional software engineering experience
• Highly motivated, self-driven, and technically inquisitive, with a strong desire to learn and grow.
• Proficiency in one or more server-side programming languages (Java and Spring Boot preferred).
• Experience with one or more client-side programming languages (JavaScript and React preferred).
• Hands-on experience developing, deploying, and supporting REST services and microservices.
• Familiarity with cloud platforms for storage, compute, and infrastructure as code; experience with Kubernetes and AWS is preferred.
• Knowledge of relational and non-relational databases, along with messaging systems.
• Ability to positively influence team outcomes—mentors peers, contributes to decision-making, and drives innovation.
• Strong collaboration skills with business stakeholders; experience proposing product features to enhance product value is a plus.
• Excellent written and verbal communication skills.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, or a related field; equivalent work experience will also be considered.

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.

VP of Engineering

AI-Driven Marketing Orchestration Platform

Overview

Our client is building an AI-native marketing orchestration platform designed to optimize creative generation, media spend, and performance through multi-agent systems. The platform will initially power a portfolio of marketing agencies and evolve into a standalone SaaS business. This is a foundational engineering leadership role.

Core Mandate

Build and ship a production-grade AI platform that:

• Reliably manages multi-agent workflows
• Handles enterprise-scale marketing spend
• Iterates rapidly based on real customer feedback
• Balances speed with system reliability

What Success Looks Like (First 12 Months)

• Working production system used by real customers
• Reliable multi-agent workflows (no catastrophic failure modes)
• High iteration velocity (weekly / bi-weekly shipping cadence)
• Strong early engineering team (5–8 people)
• Clear product traction and engagement

Key Responsibilities

Architecture & Systems

• Design and build multi-agent orchestration systems
• Ensure reliability in probabilistic workflows (failure handling, guardrails)
• Own backend architecture, data pipelines, and integrations (ad platforms, CRM, analytics)
• Implement observability, monitoring, and cost controls

Hands-On Development

• Write production code daily in early stages
• Review and improve code from team
• Guide AI-assisted development workflows (Cursor, Claude, etc.)
• Ensure code quality and security

Product & Iteration

• Work directly with customers to refine product
• Ship quickly and iterate based on feedback
• Balance MVP speed with enterprise reliability

Team Leadership

• Hire and lead a small elite engineering team
• Set engineering standards and velocity
• Mentor developers and enforce accountability

Required Experience

• Experience building ad tech or marketing technology systems
• Experience deploying AI / LLM systems to production
• Experience with multi-agent or orchestration workflows
• Strong backend / distributed systems experience
• Experience leading engineering teams (5–20 people)
• Must be hands-on and capable of coding

Preferred Background

• AI-native SaaS or adtech companies
• Experience at high-growth startups

Key Traits

• Builder mindset (not a pure manager)
• High technical rigor
• Mentally flexible (not dogmatic about tools)
• Customer-focused
• Moves fast but cares about quality

Location

• Preferred: New York or Los Angeles
• Open: SF or remote for exceptional candidates

Everyone on our team has earned a CPC (Certified Personnel Consultant) or CTS (Certified Temporary Staffing Specialist) accreditation from the National Association of Personnel Services. We are experts at staffing and recruiting with more than 16 years of experience serving employers.

Our approach to staffing isn't just a little bit different; it's a whole different ball game. While most staffing firms emphasize transactional services (taking and filling job orders), BTI Solutions focuses on providing more strategic solutions.

By acting as workforce consultants, we are able to find innovative and intelligent strategies for improving productivity, meeting project deadlines, improving hiring quality, decreasing turnover, and reducing total labor costs.

Our recruiting and candidate assessment process assures the highest quality matches between job seeker and employer, so you will get people who not only have the right qualifications but who also have the appropriate personality fit for your organization.

More than anything, the biggest difference with BTI Solutions is the one that matters most: bottom-line results.

• 95% client satisfaction rate measures client satisfaction vs. expectations.
• Clients have worked with us for over 10 years, on average.
• BTI Solutions counts 4 Global Telecommunication companies as clients.
• Client referrals are BTI Solutions' largest source of new clients.
• Google Review 4.4, Facebook Review 4.8

Responsibilities:

• Design, develop, and maintain robust, scalable applications and modules, writing clean, efficient, and well-documented code
• Manage the entire software development lifecycle, including planning, prioritizing, testing, and releases, often using Agile methodologies
• Lead, guide, and mentor junior developers, conducting code reviews and ensuring adherence to best practices
• Work closely with project managers, business analysts, designers, and other engineers to define requirements and deliver innovative solutions
• Implement automated testing, debug issues, troubleshoot complex problems, and ensure application security and performance
• Contribute to high-level application design and database architecture
• Participate in internal and external meetings to gather the business requirements and suggest solutions
• Analyze the business requirements and suggest the best practice to apply to the business requirements
• Write clean code to produce fully functional backend processes and frontend UI modules
• Develop a new or existing system of frontend UI and APIs
• Write unit, integration, and production test scenarios
• Troubleshoot and debug to optimize application performance
• Liaise with the development team to identify and plan new features
• Ensure the developed modules comply with Samsung SDS quality assurance standards
• Research and suggest new technologies, applications, and protocols
• Be an individual contributor when it comes to designing and developing frameworks and critical pieces of code that have a wider impact
• Create detailed technical plans for the execution and implementation of projects
• Be available to answer technical questions, clarifications, and clear obstacles for the team
• Being transparent with the team about challenges, failures, and successes
• Writing development progress reports

Requirements:

• 10+ years of application development experience
• Bachelor's degree in computer science, engineering, or a related field
• Extensive knowledge of Java development. This includes the whole process, from the first line of code to implementation in the production environment
• Deep knowledge of operating systems, including but not limited to
• Proficiency with writing automated tests in JUnit, Espresso, Mocha, Jest, Enzyme, XCTest, etc.
• Proficiency in Java, with a good understanding of its ecosystems
• Sound knowledge of Object-Oriented Programming (OOP) Patterns and Concepts
• Familiarity with different design and architectural patterns
• Skill for writing reusable Java libraries
• Know-how of Java concurrency patterns
• Good understanding of the concepts of MVC (Model-View-Controller) Pattern, JDBC (Java Database Connectivity), and RESTful web services
• Experience in working with popular web application frameworks like Play and Spark
• Relevant Knowledge of Java GUI frameworks like Swing, SWT, and AWT according to project requirements
• Extensive knowledge of the class loading mechanism in Java
• Experience in handling external and embedded databases such as Oracle, MS SQL, etc.
• Understanding basic design principles behind a scalable application
• Skilled at creating database schemas that characterize and support business processes
• Basic knowledge of JVM (Java Virtual Machine), its drawbacks, weaknesses, and workarounds
• Implementing automated testing platforms and unit tests
• In-depth knowledge of code versioning tools, for instance, Git
• Expertise in continuous integration
• Experience in Java Server Pages (JSP) and servlets, Web frameworks like Struts and Spring
• Web Technologies like HTML, JavaScript, CSS, JQuery
• Abstract classes and interfaces
• Constructors, lists, maps, sets
• File IO and serialization, Exceptions, and Generics
• Java Keywords like static, volatile, synchronized, transient, etc
• Multithreading and Synchronization
• Experience with profiling and debugging Java-based applications and products
• Experience integrating with backend systems preferred, such as ERPs, WMS, OMS, etc.
• Solid knowledge of performance Improvement best practices
• Experience in a similar role would be advantageous
• Willingness to build professional relationships with staff and clients
• Excellent communication, motivational, and interpersonal skills