AI/ML Engineer | Python | LLM Agents | Agentic Workflows | Must have startup experience

AI/ML Engineer | Python | LLM Agents | Agentic Workflows | Must have startup experience | NYC

Location

• New York, NY (Hybrid — 3 days/week in office)

Package

• $180,000 - $280,000 + meaningful equity

Eligibility

• Open to candidates with existing work authorization – US Residents Only

🚨 Please only apply if you have ALL of the following 🚨

• Python backend engineering
• Hands‑on experience building and deploying AI agents or LLM‑powered systems
• Production‑grade ML/AI deployment (not just research or modelling)
• Startup or fast‑moving VC‑backed company experience
• Working across prototype → production at pace
• 3+ years as an ML/AI engineer or applied researcher

Required Background

• 3+ years as an ML/AI engineer or applied researcher
• Proven delivery of production AI/ML systems in real‑world environments
• Experience at a VC‑backed AI‑native startup or fast‑moving, reputable tech company
• Strong grounding in CS, mathematics, engineering, or a related technical field
• Able to operate with a founding‑engineer mindset – own it, ship it, improve it

ℹ️ Very Important Notes

• This is not suitable for full‑stack or backend engineers without applied AI/ML depth
• Must be comfortable in a fast‑moving, high‑autonomy startup environment
• Customer interaction is part of the role – you’ll work directly with healthcare providers
• High ownership expected – you will design, build, deploy, and iterate at pace

Must‑Haves

• Strong Python backend development
• Experience building LLM‑powered applications or AI agent architectures
• Hands‑on with agentic workflows, multi‑agent orchestration, or RAG systems
• Startup mindset with a track record of high personal output
• Ability to translate real‑world workflow problems into technical direction
• Strong problem‑solving and full ownership of systems end‑to‑end

Bonus Experience

• Reinforcement learning or RL‑from‑human‑feedback experience
• Background in healthcare, insurance, or billing workflows
• PhD in a relevant field (CS, Data Science, ML)
• Open‑source contributions in AI/ML tooling
• Past founding engineer or early technical hire

Hands‑On Experience With

• Python (backend systems and ML infrastructure)
• LLM technologies – prompting, fine‑tuning, RAG
• Agentic orchestration frameworks (e.g., Temporal, LangChain, or similar)
• PyTorch, Transformers, or equivalent ML tooling
• Deploying and monitoring AI agents in production at scale

What You’ll Be Doing

Agent Engineering

• Design and build the architecture for a multi‑agent AI system handling real‑world insurance workflows
• Develop specialised agents for denial classification, root cause analysis, policy reasoning, and appeal generation
• Build reusable agent infrastructure and orchestration frameworks across the platform

Quality & Reliability

• Create evaluation frameworks and feedback loops to continuously improve agent performance
• Design prompt engineering strategies and fine‑tuning approaches for production use cases
• Translate field insights and customer feedback into technical priorities

Collaboration

• Work directly with billing managers and healthcare providers to understand workflows
• Partner with the engineering team on production infrastructure and monitoring
• Actively contribute to the AI/ML technical roadmap and company direction

What They’re Looking For

• A technically sharp, scrappy engineer who moves fast and takes ownership
• Someone who’s built real AI systems – not just run notebooks or fine‑tuned models
• A builder who thrives in ambiguity and turns customer insight into working product
• An engineer who wants to be one of the first 20 people shaping a category‑defining company

If you have the background above and want to build production‑grade AI agents that fix one of the most broken systems in healthcare – get in touch for a fast response.