> Markdown version of [/jobs/ext/332815-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/332815-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Capsa AI - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Text Processing, Elasticsearch, Python (Programming Language), PostgreSQL, Open Source Technology, Large Language Models, Multi-Agent Systems, Technical Debt, Backend, Fastapi, Machine Learning Operations - **Published:** June 6, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=fa9d0a803682e36a ## About the Role Do you have experience in Python?, * Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture-backed startup or top tech firm -not as a side project, as the core of the work. * You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag. * The right technical toolkit. Strong Python, hands-on experience with LLMs (OpenAI, Anthropic, open-source), agent frameworks, RAG pipelines, vector databases, and backend infrastructure like FastAPI, Postgres, and ElasticSearch, or close enough that the gaps close fast. * Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the product does for the person using it, and that shows in how you build. * Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. ## Description Take what you already know about AI systems, or about building at the frontier, into a category-defining company. A fast track to owning the infrastructure that powers decisions at the world's largest PE firms. You'll design and ship the core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you've built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don't have, and the job is to point that depth at problems the industry has never had good tooling for. This isn't a place to maintain someone else's codebase. We hire engineers who want to own things end-to-end from day one, and we give responsibility based on impact, not seniority. Strong execution is the fast track to shaping the technical direction of a high-growth AI company, building alongside a founding team that will back your best ideas. The opportunity * Build the agent's brain. Design and ship features that give our AI genuine investment expertise, the kind that makes analysts faster and makes partners take notice. * Push the architecture forward. Prompts, reasoning chains, agent design. You own the quality and reliability of what the model produces, not just the code that runs it. * Stay at the frontier. Evaluate new models, techniques, and research as they drop. When something better exists, you're the one who brings it in. * Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis the platform can perform. * Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate. Recent projects include * Agentic assistant with a finance-focused toolkit and advanced document authoring features * Scalable document ingestion and indexing pipeline * In-house, streaming-first agent framework * AI-assisted document editor, * Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so. * Hungry and resilient. Start-up pace is the appeal, not the trade-off. Rejection doesn't slow you down. * Bias for action over planning theatre. You move with incomplete information and adjust as you go. * Genuinely curious about AI. Using it, breaking it, building it into how you work. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Discover the open source trio you didn’t expect: .NET and PostgreSQL on Linux](https://www.wearedevelopers.com/videos/2042-discover-the-open-source-trio-you-didn-t-expect-net-and-postgresql-on-linux) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding)