Senior Full Stack AI Engineer
19 hours ago
Nottingham
Senior Full-Stack Engineer — AI Document Generation Adema AI | SH Proptech Limited | Remote (UK) | Contract Next.js · Python · LLM / RAG · TypeScript About Adema AI Adema AI is a full-stack, AI-native platform operating in a regulated, document-heavy industry. We build production tooling that automates professional knowledge work — replacing manual, expert-driven workflows with structured AI pipelines that draw on large, jurisdiction-specific policy corpora. Our stack is modern, our domain is complex, and our bias is toward shipping. The Role We are hiring a senior engineer to build and ship a core AI generation product on our platform. The feature takes structured inputs from users and produces long-form, policy-grounded professional documents suitable for regulated submission — assembled dynamically from templates, retrieved policy context, and LLM-generated narrative. This is a build-and-ship role. Product specification, domain framework, and subject-matter expertise are already in-house. What we need is someone who can take a well-defined spec and turn it into a working, deployed, production-quality product — fast. What You Will Build • A dynamic input layer that captures structured, context-dependent user inputs with conditional logic driven by use-case type, • An LLM generation pipeline (Claude / GPT-4) producing structured, professional long-form output grounded in a retrieved knowledge base — prompt engineering, structured output, context management, • A RAG architecture over a substantial domain corpus: ingestion, chunking, embedding, vector retrieval, and context assembly using pgvector or equivalent, • Multi-template document generation with conditional logic across several distinct output variants, each with its own structure, tone, and policy grounding, • Production-grade document output in PDF and Word formats, rendered from structured data and ready for professional use, • Full integration into the existing Adema AI platform — Next.js frontend, Supabase backend, Auth0, Vercel deployment Requirements Must have • Strong full-stack experience — Next.js / React / TypeScript frontend, Python (FastAPI) or Node backend, • Hands-on experience building LLM-powered applications in production: prompt engineering, RAG, structured output, context window management, evals, • Experience with document generation pipelines — producing PDF and Word output from structured data, not just HTML previews, • Comfort working with large, complex domain corpora — ingesting, structuring, and retrieving from detailed reference material, • A track record of shipping production features, not prototypes or demos, • Fully independent delivery — you can own a spec end-to-end, make the right technical calls without hand-holding, unblock yourself, and ship. No one will be sitting next to you telling you what to do, • Genuinely world-class. We are only interested in hearing from the best of the best — engineers who are exceptional at what they do and can prove it. If that is not you, this is not the role, • Experience with Supabase, Vercel, and modern deployment stacks, • Familiarity with regulated or policy-heavy document generation (legal, planning, compliance, financial), • Experience building multi-template document generators with conditional logic, • Working knowledge of RAG architectures using vector databases (pgvector, Pinecone, or similar), • Hands-on experience with the Claude API / Anthropic SDK Tech Stack • Frontend: Next.js, React, TypeScript, Tailwind CSS, • Backend: Python (FastAPI) and/or Node.js, • Database: Supabase (PostgreSQL), pgvector, • AI: Claude API (Anthropic), OpenAI API, RAG pipeline, • Deployment: Vercel, GitHub Actions CI/CD, • Auth: Auth0 Engagement Structure The most important thing to us is proof of delivery. Everything else — structure, terms, arrangement — is flexible for the right person. • Structure: Employment preferred, but we are flexible on the arrangement for the right candidate, • Compensation: £70k–£100k equivalent, subject to performance, • Equity: available for the right candidate — we are open to meaningful equity participation for someone who becomes core to the business, • Location: Fully remote, UK-based preferred How We Work • Small, senior team — no layers of management between you and the product, • Direct access to the CEO and domain experts, • Sprint-based delivery with clear milestones, • We value shipping over talking — show us what you can build How to Apply Send the following to : • Your CV or a link to your portfolio / GitHub, • A brief note (max 500 words) on how you would approach building an AI-powered long-form document generator grounded in a domain-specific knowledge corpus Adema AI is a trading name of SH Proptech Limited (Company Number 15518685). Registered office: 3rd Floor 45 Albemarle Street, Mayfair, London, W1S 4JL.