Build and deploy ML models from prototype to production
Own the full lifecycle of ML projects
Engage directly with business stakeholders to gather and refine project requirements
Translate requirements into structured work packages with clear milestones and deliverables
Monitor and follow up to ensure timely and high-quality project delivery
Collaborate cross-functionally to develop scalable systems
Improve model accuracy, performance, and reliability
Apply best practices in testing, MLOps, and observability

Have 5–10+ years of hands-on experience in AI/ML engineering (required)
Demonstrate the ability to work independently and lead projects without day-to-day supervision
Are confident engaging with non-technical business stakeholders, understanding their needs, and converting them into technical plans
Have strong Python skills (required); a second coding language is a plus
Have deep experience with ML algorithms and model development
Hold a BS in CS or a related field in AI Engineering
Have proven experience deploying LLM-based applications using API calls to frontier models (e.g. OpenAI, Anthropic, Google Gemini) (required)
Are familiar with the Palantir platform (AIP, Foundry, or Ontology) (desirable)
Are familiar with LangChain, LLMs, Kubernetes, or GCP (nice to have)

Competitive compensation
Generous vacation policy, paid holidays, and paid sick time
Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)
Company-paid Short-Term and Long-Term Disability Insurance
Company-paid Group Life insurance
Company-paid Employee Assistance Program (EAP) and Calm App subscription
Employee-paid Pet Insurance and optional supplemental insurance coverage
Vested 401(k) with company match and financial wellness programs
Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options
Paid maternity leave, paid paternity leave, and fertility benefits
Career growth and learning opportunities
…and so much more!

Senior AI Engineer

Key skills