Senior Software/AI Engineer

EggAI · Full-time · Remote (EU & UK) THE ROLE A very strong senior software engineer with deep, hands-on experience building and operating production systems. We hire for engineering strength first: people who write good software, reason about failure, and own what they ship. You will work in a team of 2 to 6 engineers on a client project. Clients come to us because we work at the forefront of AI in the enterprise; you help implement our AI strategy. AI experience is required. Much of our work involves LLM-powered and agentic systems, and while you may not be working directly on LLMs, you will be working on LLM based systems. WHAT YOU'LL DO - Build and operate the production systems at the centre of the engagement, end to end — you own what you ship, including after it's reached production - Lead architecture discussions for your part of the system, with the support of the wider team - Take ownership: pick up the ambiguous problem, chase down the answer, and say so when something is going wrong - Work directly with the client's engineers and with our project manager / product owner - Work in a "normal" team rhythm — daily standups, planning, retrospectives, code and design review WHAT WE'RE LOOKING FOR - 10+ years designing, building and maintaining production systems that real users depend on — clean testable code, sound API and data modelling, and the judgement to know which abstractions are worth it - Production AI experience: You have built and operated GenAI systens in production with real users - Has owned code in production — deployment, monitoring, on-call or equivalent — and can debug hard problems in live systems: concurrency, performance, data correctness - Distributed systems fundamentals: services, queues, retries, idempotency, failure modes, and integrating third-party APIs that are not reliable - Databases: schema design, query performance, migrations - Operational rigour: meaningful automated testing, useful instrumentation, CI/CD and shipping incrementally - Client-facing ability: has delivered against real business requirements and can hold a technical conversation with non-engineers - Languages: Python (primary), TypeScript/JavaScript. Strong engineers coming from Go, Java, C#, Rust or similar who are willing to work in Python are in scope - Infrastructure: cloud platforms (AWS/GCP/Azure), containerisation Desired qualities - Depth — you can explain the systems you built and the trade-offs you chose - Balances speed of iteration with production reliability - Clear communicator, in writing as well as in conversation - Learns new domains quickly and deliberately INTERVIEW PROCESS 1. Introductory call - 30 minutes 2. Behavioural/Management interview - 60 minutes 3. Technical interview (choice of walking through own code, live coding, or take home exercise) - 60 minutes