Senior Software/AI Engineer

EggAI; United States; Remote; USD 134,000 - 201,000; Full time

Job summary

EggAI is hiring a senior software engineer to build and operate production systems central to client engagements. You will own end-to-end delivery, from architecture discussions to post-production monitoring, in a remote EU & UK setting.

The role requires 10+ years building production systems, production AI experience, and strong skills in Python and JavaScript/TypeScript, with cloud and container experience.

Qualifications

• 10+ years designing, building and maintaining production systems.
• Experience in Production AI systems.
• Owned code in production and can diagnose live issues.
• Strong understanding of distributed systems concepts.
• Proficient in database design, queries, and migrations.
• Rigorous testing, instrumentation, CI/CD, and incremental shipping.
• Ability to communicate with non-engineers and business stakeholders.
• Proficient in Python; works with TypeScript/JavaScript.
• Experience with cloud platforms and containerisation.

Responsibilities

• Build and operate production systems end-to-end for client engagements.
• Lead architecture discussions with the team and client input.
• Own the delivery including post-production monitoring and fixes.
• Collaborate with client engineers and project/product managers.
• Participate in daily standups, planning, retrospectives, and reviews.

Skills

Production AI experience

Distributed systems

Python

TypeScript/JavaScript

Ownership in production

Cloud platforms

On-call / debugging

Client-facing

API design

Go/Java/C#

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

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

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.