Engineering Jobs in Villa Park, CA

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Sr Specialist, Clinical Development

Duration - 8 Months

Location - Irvine, CA

Pay Rate:- $55.00-$66.92/hour, depending on experience

Ensures product development includes all necessary clinical input and aspects for the best interest of patients and utility for treating physicians.

Key Responsibilities:

*Ensure successful product lifecycle management, from early human use through commercial submission

*Develop and implement pre-clinical test strategy and provide guidance to team members on execution strategy

*Provide scientific rationale for product attributes and pre-clinical test results

*Provide product and procedural expertise for new product development as well as introduction training for clinical and site personnel

* Develop, review, and update clinical design control documents including providing advice and guidance to product development team on development of technical summaries, clinical risk assessments, product training, instructions for use, design of validation protocols and reports, usability protocols and reports, design and application of FMEAs (Failure Modes and Effects Analysis), for technical and clinical documentation in product development.

* Ensure procedural, medical and scientific factors are considered during cross-functional product development project team meetings.

* Design, review and/or conduct literature searches and complete literature reviews for design concept, product development, protocol preparation, clinical risk assessments and/or clinical evaluation reports

* Consult with field personnel to gather field device performance feedback, as well as to ensure national and country clinical/regulatory requirements compliance.

* Evaluate collected data documentation and imaging media, draw findings, make recommendations, and provide advice and guidance to complete product evaluations, product complaint review and other required interim or final reports.

*Analyze data to support clinical trial safety investigations and new product development

*Other duties as assigned by leadership

Education and Experience:

Bachelor's Degree in biology or lifesciences field, 5 Years years experience Class II and III medical device technologies and/or clinical studies background Required

Bachelor's Degree in engineering Preferred

Additional Skills:

* Proven expertise with computer skills - Microsoft Office (Word, Excel, Project, PowerPoint), Outlook, Internet

* Proven expertise in MS Office Suite, Adobe, and ability to operate general office machinery

* Experience with pre-clinical testing protocols, hospital environments and sterile techniques

* Data analysis skills, with understanding of statistical analysis techniques

* Good communication and organizational skills

* Excellent written and verbal communication skills and interpersonal relationship skills including consultative and relationship management skills

* Full knowledge of US and international medical device regulations, of Good Laboratory Practice (GLP) and Good Clinical Practice (GCP)

* Demonstrated problem-solving and critical thinking skills

* Thorough, conscientious and results oriented working style

* Team oriented

* Ability to work in a dynamic work environment

* Knowledge of US/international medical device regulations, of Good Laboratory Practice (GLP) and Good Clinical Practice (GCP).

* Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control

* Experience in TMVR and/or fluroscopic and echocardiographic imaging preferred

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.

Position Title: Applied AI Systems Engineer

Location: Orange County, California (Hybrid)

Reports To: Head of Operations

Position Summary

This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.

The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.

This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.

Core Objectives

• Build an internal AI platform that automates high-volume operational workflows
• Reduce manual processing time and administrative overhead
• Improve accuracy, speed, and decision visibility across departments
• Establish scalable systems that support portfolio growth without proportional staffing increases

Primary Responsibilities

• AI Platform Architecture & Development
• Design and deploy AI agents to automate operational and administrative workflows
• Build LLM-powered systems for document review, data extraction, and decision support
• Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
• Implement evaluation, monitoring, and continuous improvement frameworks

Lease & Document Intelligence Automation

• Build tools to extract key lease terms, obligations, and risk clauses
• Automates lease abstraction and document comparison workflows
• Develop compliance and deadline tracking systems
• Enable searchable knowledge retrieval across lease and legal documents

Leasing & Asset Management Automation

• Automate LOI comparison and deal workflow summaries
• Build dashboards summarizing tenant performance, lease milestones, and risk exposure
• Support market intelligence and tenant prospecting research
• Develop underwriting support and reporting tools

Property Management & Financial Workflow Automation

• Automate CAM reconciliation data processing and variance detection
• Streamline tenant reporting and communication workflows
• Track vendor contracts, compliance deadlines, and service obligations
• Extract and structure financial data from operational documents

Data Infrastructure & Knowledge Systems

• Structure internal documents and data for AI retrieval and automation
• Build document ingestion, indexing, and retrieval pipelines
• Implement vector search and knowledge retrieval systems
• Maintain data integrity, access control, and auditability

Systems Integration & Deployment

• Integrate AI tools with property management, accounting, CRM, and document platforms
• Deploy systems within secure cloud environments
• Implement logging, monitoring, performance, and cost controls
• Ensure reliability and scalability of deployed systems

Collaboration & Implementation

• Translate operational workflows into technical automation solutions
• Work directly with leadership to prioritize automation opportunities
• Train teams and implement adoption workflows
• Establish standards for responsible and secure AI usage

Required Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• Demonstrated success in a rigorous academic or research environment
• 3–7+ years building production software, automation systems, or applied AI solutions
• Strong Python development and API integration experience
• Experience working with structured and unstructured data
• Experience deploying systems in cloud environments
• Strong understanding of system architecture and data pipelines
• Exceptional analytical and problem-solving ability

Preferred Qualifications

• Experience building document intelligence or contract analysis systems
• Experience with retrieval systems and vector databases
• Experience automating financial or operational workflows
• Experience integrating AI into business operations environments
• Experience in real estate, finance, logistics, or operations-heavy industries
• Evidence of research, technical publications, competitive programming, or open-source contributions

Technical Environment (Representative)

• Python and API-based architectures
• LLM platforms and agent orchestration frameworks
• Cloud infrastructure (AWS, Azure, or GCP)
• SQL and vector databases
• Workflow orchestration and automation tools
• Version control, logging, and monitoring systems

Success Metrics

• Performance in this role will be evaluated by:
• Reduction in manual administrative workload
• Automation coverage across operational workflows
• Accuracy and reliability of AI-driven outputs
• Adoption and usage across departments
• Operational efficiency gains and cost reductions

Work Environment

• Hybrid work model with in-person collaboration in Orange County
• Direct collaboration with executive leadership and operational teams
• High autonomy in system architecture and implementation decisions

Join the top full-mechanical contractor in the West — now expanding nationwide.

We deliver innovative, industry-changing commercial and healthcare projects and foster a culture that is truly unmatched. We offer excellent benefits, including employee ownership, 401k matching, and internal growth opportunities. Apply today for immediate consideration!

We are seeking a Mid-Level to Senior Mechanical Engineer to join our growing team. If you’re passionate about HVAC design, thrive in a collaborative design-build environment, and want exposure to everything from commercial packaged systems to complex central plants and laboratory exhaust systems — we want to connect.

This position plays a key role in the HVAC design-build process — from concept development through construction coordination. You’ll collaborate with fellow engineers, preconstruction executives, project managers, and field teams to deliver safe, energy-efficient, and constructible mechanical systems across diverse commercial sectors including healthcare, high-rise, entertainment, transportation, biotech, laboratories, and more.

Qualifications

• 5+ years of experience in HVAC design for commercial projects
• Bachelor’s degree in Mechanical Engineering; PE license strongly preferred
• Experience with vertical market segments noted above
• Notable experience with complex HVAC systems including custom air handling units, hydronic systems such as chilled and heating hot water, DDC controls, and central plants
• Proficiency in Revit MEP
• Experience with load and energy modeling software (Trace, HAP, eQuest, EnergyPro, EnergyPlus, etc.)
• Must be able to communicate in a professional manner, be able to work with various personalities and work styles, and be a collaborative team-player aligned with our core values of Family, Loyalty, and Respect
• Proven ability to meet fast deadlines, and prioritize tasks.

No third-party candidates will be accepted. This job description is not intended to detail every responsibility but to provide a general overview. As the nature of business demands change, so may the essential functions of this position. Salary range reflects total compensation. We are unable to offer work sponsorship for this position.

Senior Finance Manager

We’re hiring a highly technical Senior Finance Manager to help shape enterprise financial strategy as a real assets platform moves from rapid growth into a more institutional operating model.

This position blends corporate finance, portfolio-level analytics, and structured capital markets work. You’ll be the “modeling engine” for leadership—building institutional-quality models from the ground up and translating outputs into clear recommendations around capitalization, liquidity, and long-term value creation.

You’ll partner closely with senior decision-makers to consolidate portfolio cash flows, evaluate recapitalization paths, test securitization/structured finance options, optimize cost of capital, and uphold rigorous underwriting and diligence standards.

Key Responsibilities

1) Corporate & Portfolio Financial Strategy

• Create and maintain fully integrated three-statement corporate financial models
• Build portfolio roll-ups that consolidate asset-level operating performance and cash flows
• Evaluate recapitalization outcomes (e.g., buyout, minority/structured equity, alternative capital solutions)
• Model securitization concepts backed by stabilized affordable-housing cash flows
• Assess valuation, NAV, and cost-of-capital implications across scenarios
• Deliver sensitivity and scenario analysis to support capital allocation decisions

2) Capital Markets & Capital Stack Optimization

• Analyze refinancing approaches and structured debt alternatives
• Model multi-tranche debt structures and distribution waterfalls
• Support leverage strategy, liquidity planning, and covenant monitoring
• Produce investor-ready materials, return analytics, and capital partner reporting
• Assist with negotiations alongside lenders, equity partners, and other institutional counterparties
• Ensure adherence to JV structures, loan terms, and related compliance requirements

3) Advanced Modeling & Decision Analytics

• Build/upgrade LBO, cash flow waterfall, portfolio coverage, and capital pacing models
• Develop distribution schedules and liquidity/runway projections (13-week and longer-range)
• Standardize modeling templates to improve repeatability and controls
• Provide crisp, decision-ready insights to senior leadership

4) Affordable Housing Underwriting & Transaction Support (LIHTC-focused)

• Oversee underwriting for development and acquisition opportunities
• Improve underwriting tools and submission processes for tax credit transactions
• Lead financial diligence, data room readiness, and documentation hygiene
• Support debt, tax credit equity, and transaction closing activities
• Coordinate with internal teams and external stakeholders through execution

5) FP&A Leadership

• Own consolidated budgeting and forecasting
• Convert property-level data into corporate dashboards and management reporting
• Drive variance analysis, risk identification, and forecasting accuracy improvements
• Implement QA standards and financial controls across models and reporting
• Coach junior talent and raise the technical modeling bar

Ideal Profile

• 6–10 years of experience in real estate private equity, structured finance/credit, infrastructure investing, corporate development, real estate investment banking, or REIT/real assets FP&A
• Expert-level Excel skills with the ability to build models from a blank sheet
• Hands-on experience with: three-statement models, 13-week cash flow, LBO, portfolio roll-ups, waterfalls, and multi-tranche debt structures
• Strong understanding of capital stack mechanics and return metrics (IRR, MOIC, DSCR, ICR)
• Executive-ready communication: can explain complex outputs clearly and concisely
• Real estate background helpful, but high-caliber technical modelers from adjacent verticals are welcome

Technical Strengths

• Institutional-grade financial modeling
• Capital structure strategy and optimization
• Enterprise valuation and NAV frameworks
• Securitization / structured cash flow modeling
• Debt tranching, coverage, and covenant analytics
• Liquidity forecasting and runway analysis
• Advanced Excel (Power Query/Power Pivot preferred)
• Investor reporting and performance analytics

Senior Structural Engineer

Location: On-site in Anaheim, CA (relocation assistance available)

Our confidential client is a nationally recognized, multidisciplinary building-design powerhouse that continues to raise the bar on innovation, safety, and community impact. As they expand their California presence, they are adding a Senior Structural Engineer who will shape landmark projects ranging from mixed-use mid-rises to advanced industrial facilities. You will join a highly collaborative group that prizes technical excellence, invests heavily in professional growth, and gives engineers a direct voice with owners and architects.

Key Responsibilities

• Lead structural calculations and design for commercial, industrial, and civic projects using steel, concrete, timber, masonry, and cold-formed steel systems, delivering safe, economical solutions that meet seismic Zone 4 requirements.
• Act as Engineer of Record, reviewing and stamping drawings and calculations in accordance with IBC, CBC, AISC 360, ACI 318, and ASCE 7.
• Manage scope, schedule, and budget for multiple concurrent projects, coordinating closely with architecture, MEP, and civil teams to keep milestones on track.
• Mentor junior engineers and drafters, instilling best-practice analysis techniques and fostering a culture of continual learning.
• Perform advanced modeling and dynamic analysis with tools such as RISA 3D, RAM Structural System, and ETABS; drive BIM integration with AutoCAD and Revit models.
• Champion continuous improvement by vetting emerging materials, methods, and digital workflows that elevate safety, sustainability, and cost efficiency.
• Maintain close client relationships, translating technical findings into clear recommendations and presenting design concepts to both technical and non-technical stakeholders.

Core Qualifications

• Bachelor’s degree in civil engineering; Master’s in Structural Engineering highly preferred.
• Active California PE or SE license.
• 8 + years of progressive structural design experience with demonstrated project-lead responsibility.
• Expert user of leading structural analysis software; Revit/BIM familiarity strongly valued.
• Proven track record guiding multidisciplinary teams and communicating complex concepts with clarity.
• U.S. work authorization and ability to work on-site in Anaheim.

What’s In It for You

• Competitive base salary plus discretionary bonus and annual merit reviews.
• Comprehensive health, dental, vision, and life coverage from day one.
• 401(k) with company match and immediate vesting.
• Generous PTO, company-paid holidays, and flex Fridays after onboarding.
• Paid professional memberships, license renewals, and continuing-education stipend.
• Clear technical and leadership growth paths within a rapidly scaling organization committed to elevating its engineering talent.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at /46Gs4yS

About Yami:

Founded in 2013, Yami’s mission is to bring the world closer for everyone to experience and enjoy. We make it easy to discover exciting flavors and trending products from Asia. Named Inc. Magazine’s fastest growing start-up on the ”Inc. 500 List,”, we’re committed to connecting people with authentic food, beauty, home, and wellness experiences through our e-commerce platform, iOS, and Android apps.

Benefits & Compensation:

• 401(k) Matching
• Health Insurance: Medical, Vision, and Dental
• Paid Time Off: Vacation, Sick, and Holidays
• On-site Amenities: Gym, Pool, Game Rooms, etc.
• Team Building
• Employee Discount
• Employee Referral
• Coffee and Snacks
• Please see range below, and DOE

Summary:

The Growth Marketing Specialist is responsible for driving organic traffic growth through SEO and AI-driven discovery channels. This role leads strategy across technical SEO, content optimization, site architecture, and schema implementation to improve visibility and “Share of Model” on generative search platforms. The specialist analyzes performance data, conducts keyword and competitive research, and partners closely with Product, Engineering, and Content teams to turn insights into growth initiatives. The ideal candidate has at least three years of SEO or growth marketing experience (preferably in North American e-commerce), is comfortable working in startup environments, understands technical and content-led SEO, and is passionate about AI, emerging search trends, and Asian products. Bilingual English/Chinese is required.

Responsibilities

• Own the organic growth strategy across SEO and AI discovery platforms
• Implement strategies to increase "Share of Model" by optimizing site architecture and Schema markup for Generative Engine Optimization
• Develop and execute a comprehensive SEO strategy, including technical SEO, onsite and offsite optimization, and content-led growth initiatives
• Conduct keyword research, competitive analysis, and site audits to identify growth opportunities
• Collaborate with Product, Engineering, and Content teams to implement the organic traffic growth strategy
• Monitor and analyze search rankings, website performance, and user behavior， translating insights into clear action items
• Evaluate organic traffic quality and performance, providing data-driven insights and recommendations for continuous improvement
• Stay current with search ecosystem changes, algorithm updates, and emerging AI-driven discovery trends

Qualifications

• 3+ years of experience in SEO, organic growth, growth marketing, or AI-driven traffic, preferably within the North American e-commerce industry
• Startup experience with hands-on SEO and GEO is a strong plus
• Strong ability to analyze data, generate insights, and translate findings into actionable recommendations
• Hands-on experience with Google Analytics, Google Search Console, and other SEO tools (e.g., SEMrush, Ahrefs)
• Solid understanding of content marketing, link-building strategies, and technical SEO fundamentals
• Strong interest in AI, search innovation, and content creation
• Strong interest in Asian products and culture, with the ability to quickly identify emerging trends among our target customers
• Bilingual in English and Chinese