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We're hiring · Engineering
Forward Deployed Engineer (FDE)
Sit close to real client problems, from a jeweller's WhatsApp orders to a fund's broker data, and ship working AI software in days with AI tooling as your default.
About the role
We're hiring a Forward Deployed Engineer (FDE), someone who can sit close to a real business problem (a jeweller's messy WhatsApp order history, a manufacturer's Excel-based inventory, a fund's fragmented broker data) and turn it into working software fast, using AI as a force multiplier rather than a crutch.
This isn't a "build what's in the ticket" role. You'll frequently be the one figuring out what should be built in the first place, sitting in on client conversations, reading unstructured data, and shipping a working prototype within days, not sprints.
Responsibilities
- Build and ship full-stack features across our AI-native product engagements, FastAPI, React + Vite + TypeScript + Tailwind, MongoDB, RAG, LLMs, LangChain, APIs, Webhooks, Websockets, MCPs layers
- Use AI-native tooling (Claude Code, Cursor, Grok, Antigravity, and similar) as your default way of writing software, not as autocomplete, but to plan, scaffold, test, and ship
- Take unstructured client inputs (WhatsApp exports, raw spreadsheets, verbal process walkthroughs) and turn them into structured data models and working modules
- Build agentic AI workflows, automated reordering, payment flagging, anomaly detection, that act with human approval in the loop
- Own features end-to-end: design the data model, build the API, wire up the frontend, deploy it, and iterate based on real client feedback
- Work directly with founders and clients, not just a PM, you'll need to ask good questions and push back when a request doesn't make sense
- Move fast on ambiguity: most weeks won't have a fully-specced backlog waiting for you
Requirements
- 1-2 years of combined experience across internships, startup roles, or corporate stints, we care about what you've shipped, not the shape of your resume
- Any educational background related to tech and AI is welcome. We're open; what you've built matters more than the degree on paper
- Hands-on with FastAPI (or similar Python backend frameworks), React + Vite + TypeScript + Tailwind, MongoDB, and comfortable working on Linux, Websockets, Webhooks, MCPs, etc.
- Genuinely fluent with AI coding tools day-to-day, you've built real things with Claude, Cursor, Grok, or similar, not just used autocomplete
- A track record of shipping, side projects, hackathon builds, internship deliverables, or production features you can talk through in detail
- Comfortable with ambiguity: given a rough problem, you can break it down, make reasonable calls, and start building rather than waiting for a full spec
- Curious and fast-learning, with startup instincts, ownership over your slice of the product, comfortable with a small team and direct founder access