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Senior AI Engineer

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: United States Digital Space LLC
Full Time, Part Time position
Listed on 2026-06-29
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 174241 - 200641 USD Yearly USD 174241.00 200641.00 YEAR
Job Description & How to Apply Below
Position: Senior AI Engineer I

Senior AI Engineer I – Commercial Data & Applied AI

We are building a world‑class Commercial Data & Applied AI team and are looking for a highly motivated Senior AI Engineer I to design and implement AI and automation solutions that optimize operations across our commercial, billing, and customer experience teams. This full‑time senior role is focused on applying LLMs, AI, and automation to real‑world business challenges in healthcare. The role is hybrid, requiring 2‑3 days per week on site in Menlo Park.

Responsibilities
  • Build and deploy LLM‑powered applications (retrieval systems, AI agents, workflow automation, vector storage) that integrate with internal systems and data sources
  • Partner with business stakeholders to identify automation opportunities, scope requirements, and define success metrics
  • Build lightweight data pipelines and analytics to support AI applications and measure their impact
  • Own projects end‑to‑end: from prototyping and iteration through production deployment and monitoring
  • Establish best practices for prompt engineering, evaluation, and responsible AI use as the team scales
  • Develop and lead internal training sessions on LLM fundamentals, prompt engineering, and AI‑assisted development tools
Qualifications
  • 5+ years of experience in software engineering, data science, or ML engineering
  • Hands‑on experience building applications with LLM APIs (OpenAI, Anthropic, etc.)
  • Strong Python proficiency and comfort with SQL and relational databases
  • Experience deploying and maintaining production systems
  • Familiarity with AWS
  • Excellent communication skills and ability to translate business problems into technical solutions
  • Self‑directed and comfortable with ambiguity in a 0‑to‑1 environment
Nice‑to‑Have
  • Previous entrepreneurial experience
  • Experience with retrieval architectures, vector databases, and embedding models
  • Familiarity with agent frameworks or workflow orchestration tools
  • Experience with traditional ML frameworks (scikit‑learn, PyTorch, Tensor Flow)
  • Prior work in healthcare, biotech, or other regulated industries
Compensation & Benefits
  • Base pay range: $174,241 – $200,641 per year (actual amount based on experience)
  • Equity options available
  • Corporate bonus program
  • Medical benefit options: employee premiums paid 100% of select plans, dependents covered up to 80%
  • Family bonding leave: 16 weeks, paid 100%
  • Supplemental fertility benefits coverage
  • Retirement savings program with 4% company match
  • Paid time off increases with tenure
  • Additional perks such as on‑site lunches, gym, EV charging (compatible with all EVs)
Legal Notice

The company is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Position Requirements
10+ Years work experience
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