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

Join a hyper-growth AI company fresh off a major funding round, building next-generation agentic technology that's transforming a trillion-dollar industry. You won't be building demos here. You'll be deploying agents that interact with the real world - autonomous systems handling complex, multi-step workflows across research, communication, and decision-making - in a platform that's barely scratched the surface of its potential.

This is a zero-to-one role. You'll help shape the architecture, define the roadmap, and build the agent infrastructure that takes this from early traction to industry standard.

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.

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

Benefits