AI Research Engineer
Develops advanced AI agents for healthcare revenue recovery, focusing on human-like conversational AI, model improvements, LLM orchestration, and evaluation frameworks to handle insurance interactions and billing tasks.
About the job
Responsibilities
- Improve models, LLM orchestration, prompt optimizations, evaluation framework, and AI infra
- Enable agent/workflow product engineers
- Own and raise the bar on AI quality
- Own ultimate vision of end-to-end AI orchestration of modules
- Work on hardest research problems (e.g., Anti-AI)
- Mix of ML, data science, and applied LLM work (heavy Python)
Requirements
- Like reading latest LLM research papers
- Deep experience implementing and building AI agents
- Eager to try latest releases (e.g., o1, OpenAI voice mode, Claude Computer-Use) for real-world healthcare billing
- Worked with complex distributed systems with many async operations
- Excited about pushing boundaries of conversational AI
- Balance quick experimentation with systematic evaluation
- Very high Python mastery
Perks & Benefits
- In-person culture at Flatiron office in NYC with paid lunch and dinner
- Flexible hours and time off
- Gym stipend
- Commuter benefits
- Health, dental, vision insurance
- 401(k) with matching
- Annual offsite
Skills
Python, LLMs, AI Agents, Llm Orchestration, Prompt Engineering, Machine Learning, Evaluation Frameworks, Distributed Systems, Async Operations, Conversational AI
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