EggAI

Open-source enterprise AI framework and services

Senior Software Engineer/AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in UKNo salary listed

About the Job

Requirements

Have 10 or more years of experience designing, building, and maintaining production systems used by real users, including clean, testable code, sound API and data modeling, and judgment about useful abstractions.
Have production experience building and operating generative AI systems used by real users.
Have owned code in production, including deployment, monitoring, on-call or equivalent responsibilities, and debugging live-system issues involving concurrency, performance, or data correctness.
Understand distributed-systems fundamentals, including services, queues, retries, idempotency, failure modes, and integration with unreliable third-party APIs.
Have experience with database schema design, query performance, and migrations.
Apply operational rigor through meaningful automated testing, useful instrumentation, continuous integration and continuous delivery, and incremental shipping.
Have client-facing delivery experience against real business requirements and be able to hold technical conversations with non-engineers.
Use Python as the primary language and TypeScript or JavaScript; engineers with experience in Go, Java, C#, Rust, or similar languages are also considered if willing to work in Python.
Have experience with cloud platforms such as AWS, Google Cloud Platform, or Azure, and containerization.

Responsibilities

Build and operate the production systems at the center of the client engagement end to end, taking ownership after deployment.
Lead architecture discussions for the assigned part of the system with support from the wider team.
Take ownership of ambiguous problems, find answers, and raise issues when something goes wrong.
Work directly with client engineers and the project manager or product owner.
Participate in the team's regular rhythm of daily standups, planning, retrospectives, code reviews, and design reviews.

Desired Qualifications

Explain systems built and the trade-offs made.
Balance speed of iteration with production reliability.
Communicate clearly in writing and conversation.
Learn new domains quickly and deliberately.

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

About EggAI

Agentic workforces are inevitable. Making them work is our mission.

EggAI is building the engineering methods, operating models, and reusable technology to deploy agentic workforces with the quality and control required for sustained business impact.

Working closely with enterprise clients, we design, implement and operate agentic systems that evolve from augmenting individual tasks to autonomously executing end-to-end processes alongside people—resilient, controlled, and scalable. We begin with the client problem, select the technical approach that best serves it, and remain accountable through deployment, adoption, and operations. Each deployment strengthens the next by turning production learning into reusable capability.

We are an experienced, international team working across Europe. We set high standards, take ownership of outcomes, and value clear thinking, candid feedback, and the ability to turn ideas into tangible results.

About the Company

EggAI

Open-source enterprise AI framework and services

EggAI Technologies provides expert services and an open-source AI meta-framework to help large enterprises build and deploy scalable, secure, and production-ready AI solutions. It operates with a Plan, Build, Operate & Transfer approach, guiding clients through the full lifecycle of AI projects and ensuring alignment with existing tech strategy, security, and legacy systems. The core product is an open-source framework that offers structured guidance for creating enterprise-grade AI platforms while remaining flexible enough to integrate preferred tools and libraries, avoiding vendor lock-in. What sets EggAI apart is its combination of services and governance-focused, composable AI framework tailored for enterprise-scale deployments, not just a software tool. The company’s goal is to help large organizations move beyond prototyping to deploy reliable, compliant AI systems that deliver tangible business value across generative and traditional AI models.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Munich, Germany
Founded: 2024

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