You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI.
What you will do
Build AI Use Cases
Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use
Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows
Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships
Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment
Work Directly With the Business
Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others
Turn a loosely described business problem into a scoped, buildable design
Show working software early and often, and change direction when the first answer turns out to be wrong
Be straight with stakeholders about what AI is not the right tool for
Take It to Production and Keep It There
Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable
Monitor accuracy, latency, and cost in production, and act when they drift
Work with platform engineers on deployment, and hand over cleanly to production operations
Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last
What we're looking for
Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke.
Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python.
Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users.
Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start.
Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build.
Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded.
Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not.
HOW YOU WILL RAMP
You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise
The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments
We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months
WHEN WE TALK
Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot.
Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped.
If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you.
What we offer you
Looking to make a mark?
At Colt, you’ll make a difference. Because around here, we empower people. We don’t tell you what to do.
Instead, we employ people we trust, who come together across the globe to create intelligent solutions.
Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want.
We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better.
Diversity and inclusion
Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you’ll be encouraged to be yourself because we believe that’s what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth.
Most recently we have
Signed the UN Women Empowerment Principles which guide our Gender Action Plan
Trained 60 (and growing) Colties to be Mental Health First Aiders
Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages.
Benefits
Our benefits support you through all parts of life, for both physical and mental health.
Flexible working hours and the option to work from home.
Extensive induction program with experienced mentors and buddies.
Opportunities for further development and educational opportunities.
Global Family Leave Policy.
Employee Assistance Program.
Internal inclusion & diversity employee networks.
A global network
When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring – take a look at ‘Our People’ site including our Empowered Women in Tech.
