Software Engineer (AI)

Join ExTrac.ai as a Software Engineer focusing on AI, contributing to decision intelligence in critical environments.

• 2+ years of professional software engineering experience, with demonstrated ability to build and ship production-grade services with solid test coverage, and experience owning features or components end to end within a larger system.
• Proficiency in building services in Python, with working knowledge of Go or the ability to pick it up quickly.
• Some exposure to agentic systems, LLM applications, or retrieval running in production, or clear evidence you would pick them up fast.
• A good understanding of distributed systems and databases, including writing asynchronous code that performs under load.
• Experience with cloud infrastructure and the CI/CD pipelines around it.
• Comfortable working with trunk-based deployment.
• Comfortable being handed a symptom rather than a diagnosis. Given a suspected memory leak, you would profile it, find the cause, and fix it, asking for support when you get stuck.
• Able to take a well-defined requirement and scope a technical approach from it, asking clarifying questions up front rather than assuming. You communicate clearly in writing and can produce documentation colleagues can follow, and you look for a way through rather than concluding something cannot be done.
• Breadth and curiosity across the stack: an interest in deployment pipelines, database behaviour, security and AI guardrails, and in validating analytical outputs and feeding analyst feedback into requirements. You pick up unfamiliar tools quickly rather than needing prior expertise in a specific one.
• Experience with retrieval systems and large-scale vector database performance (Elastic).
• Experience with graph or network analysis at scale.
• Experience building retrieval or analysis that works across multiple languages.
• Experience with infrastructure as code, streaming pipelines, and search infrastructure.
• Experience operating multi-tenant systems where data isolation is a hard requirement.
• Experience working in compliance-constrained environments. A significant upcoming project is making our systems work within FedRAMP environments.

• Competitive salary based on skills and experience.
• A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions.
• Enhanced parental leave and a workplace nursery scheme.
• £500/year education budget with more expensive items (like conferences) covered with manager approval.
• 33 days of leave across the year inclusive of bank holidays.
• Flexible working. The team is typically in our central London office two days a week, and you are welcome to come in up to five.
• • £75K – £80K

• You have built and worked on production backend systems, and you want to keep doing that. You will spend more of your time in Python and Go services, databases, and APIs than in a prompt file, and you know the difference between something that demos well and something that holds up under production load, latency, and cost.
• You can work independently on well-defined problems, and know when to flag ambiguity or ask for input rather than guessing. When the obvious approach fails, you look for another one before escalating.
• You are curious about agentic frameworks and comfortable working without one. Experience with them is useful, but we build most of our own orchestration, because off-the-shelf abstractions have not survived our requirements around evaluation, control, and production performance.
• You can take a recent technique or paper, help spike an implementation, and reason clearly about whether it is worth taking further.
• You do not trust a change until you have measured it. Reaching for the evaluation is instinct rather than afterthought.
• You actively seek feedback and act on it, and you look for opportunities to pair with and learn from the engineers around you.
• You want to work on things that matter. Our software sits underneath decisions taken by governments, defence organisations, and institutions operating where being wrong or late carries real consequences.