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Senior Software/AI Engineer

Eggai

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What software roles keep asking for: Python (36%), Java (30%), AWS (30%), System design (26%), C++ (23%), CI/CD (22%), Observability (22%), Kubernetes (20%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Eggai?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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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 Find more English Speaking Jobs in France on Arbeitnow

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Listed on arbeitnow · posted 2026-10-20. ApplySarthi collects openings and links to application pages; the role is advertised by Eggai, not by us.