Full Stack AI Engineer

About the job AI Full Stack Engineer | Financial Services | Asset Management & Investment Technology | London / EU Remote

📌 Production-grade Python backend engineering and proven hands-on experience orchestrating LLMs and autonomous agents.

💷 Competitive market day rate (Contract) + potential conversion to permanent.

🏠 Hybrid or EU Remote (London hub or remote across eligible EU jurisdictions, including Portugal).

👥 Federated AI Incubator delivering enterprise-grade agentic applications for international sales and marketing teams.

🏢 Global Tier-1 Active Investment Manager accelerating multi-billion-dollar regional asset growth through AI-powered automation.

💻 Python, LangChain, LangGraph, React, PostgreSQL / Aurora, AWS, Kubernetes, Terraform.

A premier global investment manager is scaling its central AI incubator to design and deploy agent-based, enterprise-ready workflow solutions for its international client-facing divisions. You will take end-to-end engineering ownership of autonomous agent orchestration, retrieval pipelines, and core service integration from technical design through to production.

This is a Contract opportunity offering high autonomy and a clear pathway toward permanent conversion as platforms expand.

As the successful candidate, you will:

System Architecture & Agent Delivery: Architect and deliver robust Python backend services and supervisor-style agent frameworks utilizing LangChain and LangGraph to automate complex institutional workflows.

Context Retrieval & Grounding: Build resilient data pipelines, vector search strategies, and prompt management workflows that eliminate hallucinations across massive enterprise document repositories.

Full Stack & UX Integration: Connect backend agent runtime platforms with secure enterprise APIs, PostgreSQL databases, and lightweight React front ends to ensure seamless business user interaction.

Cloud Native & Production Governance: Deploy microservices into firm-governed Kubernetes namespaces and AWS environments while applying rigorous infrastructure-as-code and observability standards.

Candidate Requirements

Required

Enterprise Python & Agent Engineering: Proven track record building enterprise-grade backend services in Python paired with practical production experience implementing LLM frameworks such as LangChain or LangGraph.

End-to-End Technical Ownership: Demonstrated capability to translate complex business problems into technical design documents, navigate existing codebases autonomously, and deliver production code without hands-on direction.

Full Stack Breadth: Working knowledge of modern JavaScript/TypeScript and React sufficient to wire UI components, connect REST/GraphQL gateways, and integrate core user workflows.

Enterprise & Production Background: Background delivering robust software within mature, product-managed environments where reliability, test coverage, and security are non-negotiable.

Eligibility & Availability: Based in the UK or an EU-eligible location (including Portugal) with availability to start within a one-month timeframe.

Nice to Have / Ideal

Infrastructure as Code & Cloud Delivery: Familiarity with Terraform, AWS, and Kubernetes deployment workflows to streamline team infrastructure provisioning.

Capital Markets Domain: Exposure to asset management, wealth distribution, or institutional financial services operational workflows.

An exceptional opportunity to deliver mission-critical AI agent platforms for a world-renowned investment management leader.

This vacancy is being managed by a third-party recruiter. By applying, you agree to your application being processed for this role.