About The Role

ABOUT THE ROLE

Join a small, fast-moving core product team at a pre-seed AI startup building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You'll own meaningful slices of the product end-to-end — from data model to deployment — and work directly with founders to ship AI-driven experiences that create real user impact.

WHAT YOU'LL DO

Design, build, and maintain agentic systems automating multi-step workflows across healthcare, legal, fintech, logistics, and compliance domains.
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale.
Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.
Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability.
Ship full-stack AI products from MVP to enterprise-grade, covering API design, data modeling, frontend and backend code, CI/CD, monitoring, and testing.
Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.

WHAT WE'RE LOOKING FOR

2–8 years of software engineering experience with a track record of shipping user-facing or backend products.
Hands-on production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
Full-stack proficiency in Python and TypeScript/React (or equivalent), plus experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
Solid working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines.
Experience building automated tests, evaluations, and monitoring for AI systems in production environments.
Experience designing API-driven, high-throughput systems and real-time product features.
Familiarity with agent or workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger) is a strong plus.
Background in multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal, is a plus.
Ownership mindset — comfortable driving features from conception through deployment and monitoring with a pragmatic, user-centric approach.