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Senior AI Software Engineer

Forter - London, England, United Kingdom - In-office - posted 2026-02-10

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Forter is seeking a Senior AI Software Engineer to join its AI Engineering team, which serves as the focal point for AI initiatives across the organization. The role involves designing, building, and maintaining reusable AI capabilities including models, tools, APIs, and platforms that power both internal and customer-facing solutions. Key responsibilities include developing and maintaining Forter's internal MCP (Model Context Protocol) server that securely exposes data stores to AI agents, creating robust evaluation frameworks and AI guardrails to ensure model reliability and safety, and building and optimizing RAG (Retrieval-Augmented Generation) systems. You will take full ownership of projects from requirements gathering with non-technical internal users through development, deployment, and operation. Additionally, you'll act as a consultant and advocate for AI engineering practices, helping other teams leverage the platforms and tools you build, and partner across Forter to accelerate AI adoption and productization efforts. The ideal candidate brings 5+ years of strong backend and server-side development experience building complex, highly scalable systems, with proven expertise in at least one general-purpose language (preferably Python). You should have strong product management skills, the ability to gather and refine requirements from non-technical stakeholders, and a strong sense of ownership with some DevOps experience. A solid understanding of GenAI, LLMs, and foundation models is essential, along with hands-on experience building AI-driven workflows, agentic frameworks, evaluations, RAGs, MCPs, and related technologies. Familiarity with AI coding tools like Claude Code, GitHub Copilot, or Cursor is expected. This role offers the opportunity to work at the cutting edge of the AI revolution, helping shape and build infrastructure for autonomous and interactive agents while establishing sustainable AI engineering practices.

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