Translabour
AI Deployment Engineer
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About us
Translabour build AI agent systems for insurance brokers. Our platform runs live at one of the top five aviation brokers in the world, automating routine workflows across departments, from document processing, CRM operations, calls' analysis and etc.
Working inside the industry showed us how much of a brokerage can be rebuilt about AI from the ground up. That is what we aspire to do – an AI-first insurance broker, built from scratch.
The role
You will own our production agent systems end to end: architecture, development, debugging, and deployment. You will work directly with the product owner to turn requirements into shipped features, and you will design workflows this market has not seen before.
Responsibilities
- Maintain and improve AI agent pipelines running in production for enterprise clients
- Design and implement new agent architectures from requirements to deployment
- Build integrations with client systems (CRMs, document workflows, internal tools)
- Debug production issues fast and own the fix through to resolution
- Contribute to technical decisions on infrastructure, tooling, and stack
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Qualifications
- Demonstrated experience building with LLMs: agent frameworks, tool use, orchestration, prompt and context engineering
- Strong software engineering fundamentals: you can design a system architecture and then build it yourself
- Fluency with AI-assisted development. You use these tools daily to write, debug, and ship
- Experience integrating with third-party APIs and enterprise systems
- Ability to work autonomously: scope a problem, make decisions, deliver without hand-holding
- Nice to have: exposure to insurance, fintech, or other regulated industries; experience taking AI systems from prototype to production
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We care substantially more about what you have built than your titles or years of experience. Strong evidence of shipped AI work outweighs a conventional CV.
What we offer
- Production systems at a global enterprise client from day one
- Unlimited budget for AI tools and tokens: whatever makes you faster, you get
- Direct collaboration with the founding team, feedback loops measured in hours
- A concrete path to a founding engineer role, with equity
- Full flexibility: remote, with the option to start part-time and move to full-time
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