Note: The job is a remote job and is open to candidates in USA. Muditā Studios is an advanced innovation factory that partners with founders and enterprises to launch tech-forward companies. They are seeking a Forward Deployed AI Engineer to embed with portfolio companies, turning ambiguous problems into working products and driving them to first revenue.
Responsibilities
- Deploy into founding teams and own a product surface from first conversation to launched product in front of real users
- Turn ambiguous, half-formed problems into scoped PRDs, then ship against them yourself
- Sit close to customers. Run the first-touch and onboarding flows where new products live or die, and fix what you see breaking
- Build AI-native products on top of LLMs, agents, and retrieval systems, not bolt AI onto legacy patterns
- Prototype and validate new ideas at the speed of conversation, so founders can test feasibility and demand in days, not quarters
- Ship full stack across frontend, backend, and AI systems using Claude Code and modern AI tooling
- Develop AI workflows using LLMs, RAG, agentic systems, evals, and modern model APIs
- Integrate third-party APIs and data sources with secure auth and resilient sync
- Carry hard-won patterns from one deployment to the next, so every company we launch starts further ahead
Skills
- Vibecoded into production. You've shipped at least 5 production products you owned end-to-end (scoped, designed, built, shipped, supported), built primarily through AI-augmented workflows
- Live product link, today. You must include at least one link to a live product you built, accessible to us right now. Resumes without a live link will not be reviewed
- Claude Code is your daily driver. You build with AI-augmented tooling as your default workflow, not as an experiment, side project, or weekend curiosity
- PM and builder, not one or the other. You can write and scope an end-to-end PRD that founders, designers, and engineers actually align on, then execute against it yourself
- A forward-deployed mindset. You'd rather be in the room with the founder and the customer than heads-down behind a spec someone else wrote
- A combo product manager and builder instinct. You own the why, the what, and the how, and ship the result yourself
- High agency in ambiguity. You get dropped into an unfamiliar domain and are useful inside a week
- Strong product taste. You spot a clunky onboarding flow, an unnecessary step, or a missing feedback loop, and you care enough to fix them
- Fluency in modern AI tooling: Claude Code, Anthropic and OpenAI APIs, agent frameworks, evals, and the patterns that turn LLMs into production systems
- 4+ years of full-stack or product engineering, ideally in startup or 0-to-1 environments
- Advanced proficiency in TypeScript, Python, Node.js, and React (Next.js or similar)
- Hands-on experience building production systems with LLMs, vector databases, and retrieval architectures
- Comfort thriving in a rapid-paced, low-bureaucracy environment, working autonomously alongside founding teams
- You've vibecoded products that other people now use and pay for
- You've designed customer onboarding, activation, or first-run experiences that measurably moved a metric
- Hands-on experience with LangChain, MCP, Pinecone, PostgreSQL, or Supabase
- Background in venture studios, accelerators, or early-stage startups
- Experience deploying applications on Vercel, AWS, or GCP
Benefits
- Remote-first, async-friendly, with deliberate moments to gather and build together
- You deploy where the work is. Direct collaboration with founders and the people making the calls
- Flat structure, low bureaucracy, high trust
Company Overview