Applied AI/ML Engineer (Public-Sector AI)

A well-funded applied AI company builds and deploys machine-learning systems that automate real-world work for public institutions and large organizations in areas such as healthcare, energy and government. Several engineers are being added to carry research results into dependable products used abroad as well as at home.

The work

Design and deploy LLM-based systems that take over complicated manual workflows across several industries

Create scalable data pipelines, tune models for accuracy and speed, and get them ready to run in production

Watch over live models and keep them delivering value for institutional customers in many countries

Contribute to projects such as improving power-generation operations, modernizing core public-agency processes and supporting better patient outcomes

Work directly with government stakeholders and with veteran founders, researchers and engineers who write software, wearing product, sales and engineering hats as needed

Keep up with new machine-learning developments, take part in code review and model good engineering habits

What you bring

Three to ten years of applied AI/ML engineering that produced production Python applications

Hands-on production work with LLMs, RAG and/or AI agents, plus strong Python and debugging skills

Experience with PyTorch, JAX or TensorFlow, familiarity with evaluation frameworks and some post-training or modeling background

Evidence of product or customer impact from your ML work, ideally at a recognized startup or startup-like team

A computer science degree; customer-facing or cross-functional experience is a plus

Hybrid in the San Francisco Bay Area or New York, NY, in the office three days a week. Visa transfers considered; new sponsorship is not available.