Senior Software/AI Engineer

EggAI · Full-time · Remote (EU & UK)

01The 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.

02What 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

03What 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

04Desired 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

05Interview 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

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