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  • France

  • 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

    Jobs at Eggai

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