Senior Software/AI Engineer

Eggai; Deutschland; Remote; EUR 100,000 - 140,000; Full time

Job summary

EggAI is seeking a very strong senior software engineer to build and operate production AI systems for client engagements. You will work in a small team to own the end-to-end delivery, from architecture discussions to live operations.

AI experience, production ownership, and strong debugging skills are essential. You will collaborate with client engineers and our project manager, operating in a normal team rhythm with daily standups, planning, retrospectives, and code reviews.

Qualifications

• 10+ years designing, building and maintaining production systems.
• Production AI experience: GenAI in production with real users.
• Owns code in production: deployment, monitoring, on-call, debugging live systems.
• Distributed systems fundamentals: services, queues, retries, idempotency, third-party APIs.
• Databases: schema design, migrations, performance.
• Operational rigour: automated testing, instrumentation, CI/CD, incremental shipping.
• Client-facing ability: ability to discuss tech with non-engineers.

Responsibilities

• Build and operate production systems end-to-end for client engagements.
• Lead architecture discussions for your part of the system.
• Take ownership, diagnose ambiguities and communicate issues clearly.
• Collaborate with client engineers and project manager/product owner.
• Participate in daily standups, planning, retrospectives, and code/design reviews.

Skills

Python

TypeScript/JavaScript

Distributed systems

CI/CD

Cloud platforms (AWS/GCP/Azure)

Production debugging/on-call

Database design

Communication with non-engineers

Go/Java/C#/Rust (scope)

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

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