Artificial Intelligence Engineer
AI Engineer – Agentic AI | Series A - E Startup | NYC Hybrid | $180K–$280K + Equity🚀 Join a fast-growing, VC-backed AI startup that's transforming healthcare through cutting-edge AI.We're partnering with an innovative Series A - E startup that's building an AI-powered platform to automate complex financial workflows within the healthcare industry. This is a unique opportunity to join a small, high-impact engineering team and help build an agentic AI platform from the ground up.If you're passionate about production AI, autonomous agents, and solving real-world problems with Large Language Models, we'd love to hear from you.📍 LocationNew York City (Hybrid) – Minimum 3-4 days per week in the office💰 CompensationBase Salary: $180,000–$280,000Equity: Meaningful equity packageAbout the RoleAs an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that automate complex workflows using Large Language Models and multi-agent architectures.This is a true zero-to-one opportunity, where you'll have significant ownership over product direction, technical architecture, and AI system design.What You'll DoDesign and build production-ready AI agents and agentic workflowsDevelop LLM-powered applications using modern prompting, RAG, and retrieval techniquesBuild scalable AI systems using Python and modern ML frameworksDesign multi-agent orchestration pipelines for complex reasoning tasksOptimize AI models for production performance and reliabilityCollaborate closely with product and engineering teams to deliver impactful AI solutionsExperiment with emerging AI technologies and rapidly prototype new capabilitiesRequired Experience3+ years of hands-on experience building production ML/AI systemsStrong Python programming skillsExperience with Large Language Models (LLMs)Experience building or deploying AI agents or agentic workflowsKnowledge of Retrieval-Augmented Generation (RAG)Experience deploying machine learning models into productionBackground working in fast-paced startup environmentsExcellent problem-solving and communication skillsNice to HaveMulti-agent orchestration frameworksReinforcement LearningPyTorchTransformersTemporalLangChain or LangGraphHealthcare AI experienceInsurance or financial workflow automationAI infrastructure and MLOpsPhD or advanced degree in Computer Science, Machine Learning, or a related fieldIdeal BackgroundWe're particularly interested in candidates who have worked at:AI-native startupsVC-backed technology companiesHigh-growth SaaS businessesApplied AI teams within leading technology organizationsWhy Apply?Build production AI that solves real-world problemsJoin an early-stage, well-funded startup with significant growth potentialWork alongside experienced engineers and foundersHigh ownership with the opportunity to shape core AI architectureCompetitive compensation and meaningful equityCollaborative hybrid work environment in New York CityIf you're excited about building the next generation of intelligent AI systems and want to make a meaningful impact from day one, we'd love to connect.