Design and deploy advanced LLM models to automate complex processes in healthcare, government, and energy sectors. Build scalable data pipelines, optimize models for production performance, and monitor deployed systems that serve government clients worldwide. Work directly with cross-functional teams and government stakeholders to turn research breakthroughs into practical AI solutions.
Key Responsibilities:
- Design and deploy LLM models for real-world automation challenges
- Build scalable data pipelines and optimize models for production
- Monitor and maintain deployed models across government clients
- Collaborate with government officials and technical teams on AI solutions
- Participate in code reviews and maintain high engineering standards
- Stay current with ML and AI developments
3-10 years of applied AI/ML engineering experience building production applications
Strong Python coding fundamentals and debugging skills
Hands-on experience with LLMs, RAG, and AI agents in production
Experience with PyTorch, JAX, or TensorFlow
Demonstrated business or product impact from ML work
Past customer-facing or cross-functional communication experience
Interest in fast-paced startup environments