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
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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
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Lead architecture discussions for your part of the system, with the support of the wider team
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Take ownership: pick up the ambiguous problem, chase down the answer, and say so when something is going wrong
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Work directly with the client's engineers and with our project manager / product owner
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Work in a "normal" team rhythm — daily standups, planning, retrospectives, code and design review
What We're Looking For
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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
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Production AI experience: You have built and operated GenAI systens in production with real users
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Has owned code in production — deployment, monitoring, on-call or equivalent — and can debug hard problems in live systems: concurrency, performance, data correctness
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Distributed systems fundamentals: services, queues, retries, idempotency, failure modes, and integrating third-party APIs that are not reliable
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Databases: schema design, query performance, migrations
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Operational rigour: meaningful automated testing, useful instrumentation, CI/CD and shipping incrementally
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Client-facing ability: has delivered against real business requirements and can hold a technical conversation with non-engineers
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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
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Infrastructure: cloud platforms (AWS/GCP/Azure), containerisation
Desired qualities
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Depth — you can explain the systems you built and the trade-offs you chose
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Balances speed of iteration with production reliability
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Clear communicator, in writing as well as in conversation
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Learns new domains quickly and deliberately
Interview Process
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Introductory call - 30 minutes
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Behavioural/Management interview - 60 minutes
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Technical interview (choice of walking through own code, live coding, or take home exercise) - 60 minutes
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