Applied ML Engineer

Responsibilities:

• Design and implement reasoning and planning systems for real production workflows.
• Build robust tool orchestration, grounding, and execution frameworks.
• Develop memory, context, and state management for long-horizon tasks.
• Create evaluation systems that measure correctness, reliability, and performance.
• Work across chat, voice, and UI-based agents to make them coordinated and dependable.
• Translate research ideas into production systems.
• Partner closely with founders and customers to iterate quickly and ship.
• Help define engineering culture, standards, and early technical direction.

Requirements:

• 5+ years of software engineering experience.
• 2+ years building and shipping LLM or agentic systems in production.
• Experience with evals, memory, retrieval, and grounding architectures.
• Comfort operating in ambiguous, open-ended problem spaces.
• Strong bias toward building reliable, measurable, testable systems.
• Product intuition: you care about real users and real outcomes.
• Clear communication and strong collaboration skills.

Bonus:

• Experience with fine-tuning or reinforcement learning.
• Experience building multimodal agents (voice, computer use).
• Experience in healthcare or other regulated environments.