Full-Stack AI Engineer @ MARV

🚀 MARV is hiring: Full-Stack AI Engineer (Founding Team)We're building MARV — a multi-agent Legal AI platform and portable trust infrastructure for the agentic economy. Our mission: Think Free®. We turn messages, calls, and shared files into confirmed terms — across jurisdictions, across languages, across the messy reality of how legal and financial agreements actually get made.We're not stitching together someone else's API and calling it a product. We're building our own AI ecosystem — proprietary infrastructure, our own models and orchestration layer, owned end-to-end rather than rented from a third party. If that excites you more than plugging into an existing stack, keep reading.We're looking for our first (or founding) AI engineer — someone who can own the full stack, not just the model layer.What you'll do:Help design and build MARV's own AI infrastructure — not just integrate third-party model APIs, but shape the architecture we ownDesign and ship RAG pipelines over legal and financial documents — embeddings, retrieval, chunking strategies that actually hold up under scrutinyBuild and orchestrate the agentic workflows that power MARV's core product experience, on infrastructure we controlOwn backend infrastructure end-to-end: APIs, vector databases, cloud deployment, scalingBuild evaluation and guardrail systems to keep hallucination and error rates low in a domain where mistakes matterWork directly with our founding team to shape product, architecture, and roadmap — not just execute someone else's specWhat we're looking for:3+ years of production software engineering experience, with hands-on work shipping LLM-powered features (not just side projects)Genuine interest in building proprietary AI infrastructure rather than only integrating third-party model APIs — you want to own the stack, not rent itReal experience with RAG: vector databases (Pinecone, Weaviate, pgvector, etc.), embeddings, and retrieval tuningStrong backend fundamentals — Python and/or TypeScript, API design, cloud infra (AWS/GCP/Azure), containerizationComfort with agentic frameworks and a willingness to build custom orchestration rather than default to off-the-shelf toolingExposure to open-source or self-hosted model deployment (fine-tuning, inference optimization, model serving) is a strong plusA bias toward shipping — you'd rather ship a working v1 and iterate than perfect something in isolationBonus: experience in a regulated industry (legal, fintech, healthcare) where privacy, auditability, and compliance are part of the job, not an afterthoughtWhy join now:This is a founding-level seat — you'll shape the architecture that scales with us, not inherit someone else's. We're building an independent AI ecosystem for a multi-jurisdictional, multi-agent future, and we want someone who wants to build the foundation, not just work on top of it.📍 Location: flexible / remote-friendly💰 Comp: equity-forward at this stage, with compensation structured to scale as we close fundingIf you want to build the trust layer for the agentic economy — let's talk. DM me or drop your background in the comments.