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

AI/ML Engineer | Python | LLM Agents | Agentic Workflows | Must have startup experience | NYCLocation: New York, NY (Hybrid — 3 days/week in office)Package: $180,000 - $280,000 + meaningful equityEligibility: Open to candidates with existing work authorization - US Residents Only🚨 Please only apply if you have ALL of the following 🚨Python backend engineeringHands-on experience building and deploying AI agents or LLM-powered systemsProduction-grade ML/AI deployment (not just research or modelling)Startup or fast-moving VC-backed company experienceWorking across prototype → production at pace3+ years as an ML/AI engineer or applied researcherJoin 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 Background3+ years as an ML/AI engineer or applied researcherProven delivery of production AI/ML systems in real-world environmentsExperience at a VC-backed AI-native startup or fast-moving, reputable tech companyStrong grounding in CS, mathematics, engineering, or a related technical fieldAble to operate with a founding-engineer mindset - own it, ship it, improve itℹ️ Very Important NotesThis is not suitable for full-stack or backend engineers without applied AI/ML depthMust be comfortable in a fast-moving, high-autonomy startup environmentCustomer interaction is part of the role - you'll work directly with healthcare providersHigh ownership expected - you will design, build, deploy, and iterate at paceMust-HavesStrong Python backend developmentExperience building LLM-powered applications or AI agent architecturesHands-on with agentic workflows, multi-agent orchestration, or RAG systemsStartup mindset with a track record of high personal outputAbility to translate real-world workflow problems into technical directionStrong problem-solving and full ownership of systems end-to-endBonus ExperienceReinforcement learning or RL-from-human-feedback experienceBackground in healthcare, insurance, or billing workflowsPhD in a relevant field (CS, Data Science, ML)Open-source contributions in AI/ML toolingPast founding engineer or early technical hireHands-On Experience WithPython (backend systems and ML infrastructure)LLM technologies - prompting, fine-tuning, RAGAgentic orchestration frameworks (e.g. Temporal, LangChain, or similar)PyTorch, Transformers, or equivalent ML toolingDeploying and monitoring AI agents in production at scaleWhat You'll Be DoingAgent EngineeringDesign and build the architecture for a multi-agent AI system handling real-world insurance workflowsDevelop specialised agents for denial classification, root cause analysis, policy reasoning, and appeal generationBuild reusable agent infrastructure and orchestration frameworks across the platformQuality & ReliabilityCreate evaluation frameworks and feedback loops to continuously improve agent performanceDesign prompt engineering strategies and fine-tuning approaches for production use casesTranslate field insights and customer feedback into technical prioritiesCollaborationWork directly with billing managers and healthcare providers to understand workflowsPartner with the engineering team on production infrastructure and monitoringActively contribute to the AI/ML technical roadmap and company directionWhat They're Looking ForA technically sharp, scrappy engineer who moves fast and takes ownershipSomeone who's built real AI systems - not just run notebooks or fine-tuned modelsA builder who thrives in ambiguity and turns customer insight into working productAn engineer who wants to be one of the first 20 people shaping a category-defining companyIf 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.