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
Introductory call - 30 minutes
Behavioural/Management interview - 60 minutes
Technical interview (choice of walking through own code, live coding, or take home exercise) - 60 minutes
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