Full Stack Software Engineer – AI

Full Stack Software Engineer – AI | London (Hybrid – 2 days per week in-office) | £80,000 - £85,000

The Mission: Moving from Web-First to AI-First:

This company generates massive volumes of critical research data, covering everything from oil price impacts to global market trends. They are currently undergoing a major architectural shift to ensure their users—such as bank traders—interact with this data not just through traditional

websites, but via autonomous AI agents and Co-pilots.

As an AI Full Stack Developer, you will be at the forefront of rebuilding the platform's entire architecture to be AI-first. You will help transition the service from a "Web/API-first" model to one driven by intelligent, autonomous workflows.

The Full Stack Software Engineer will be required to:

• Architect Autonomous Agents: Design and build agents and MCP servers to automate complex research and content generation workflows, such as auto-generating charts and reports.

• Full Stack Execution: Maintain a "Full Stack" mindset with a split of roughly 70% Python and 30% React/Typescript, picking up standard frontend or backend tasks whenever required.

• Implement RAG & LLMs: Work with custom LLM wrappers, prompts, and Retrieval-Augmented Generation (RAG) rather than training base models from scratch.

• Direct Infrastructure: Use your expertise to direct the DevOps team on the specific infrastructure needs required for AI at scale.

• Lead Quality: Own data quality and implement automated unit, integration, and performance testing for microservices-based components.

The Full Stack Software Engineer – AI is required to possess the following skills & experience:

• Commercial AI Experience: Approximately 2 years of dedicated AI experience within a broader engineering career (ideally at least 7 years total).

• Agentic Frameworks: Practical, commercial experience with LangGraph (or similar tools), agent design, and building MCPs.

• The Tech Stack: Strong proficiency in Python (FastAPI) and React/TypeScript.

• GenAI Tooling: Experience with embeddings, vector stores, and LLM integration (OpenAI, LLAMA, Cohere, etc.)

• Agile Mindset: Experience working in high-performance teams using CI/CD and modern data architecture.

Why Join This Company?

• Innovation: Work with a modern, cloud-based, serverless, and microservices-oriented tech stack.
• Impact: This role is at the heart of a significant shift in how the industry consumes research data.
• Culture: Join a collaborative and supportive work environment where your ideas are valued and your work has an immediate impact on the global market.

• Interview Process: 2 x technical rounds via MS Teams or in person

Healthcare & Wellbeing:

• Private Medical Insurance: Company-funded single cover including mental health support and 24/7 online GP access.
• Fitness: Fully funded membership to Wellhub for gyms, mindfulness, and nutrition.
• Family Support: Access to eldercare advice, travel security, and discounted health assessments.

Financial Security & Retirement:

• Market-Leading Pension: A service-based contribution model through Aviva.
• Under 2 years: Up to 9% total contribution (3% basic + 3% match).
• Over 5 years: Up to 16% total contribution (10% basic + 3% match).
• Tax Savings: Contributions made via salary sacrifice, with the company sharing its National Insurance savings to boost your pot.
• Insurance: Life assurance at 4x salary and long-term income protection covering up to two-thirds of earnings.

Additional Perks

• Commuting: Interest-free loans up to £3,000 for the Cycle to Work scheme.
• Legacy Planning: Complimentary will-making services.