AI Engineer assigned to your roadmap.
An AI Engineer builds model-backed features into software that already has users, which is a different job from building a demo that works once.
Assigned under one service agreement with a minimum monthly capacity in hours, run by a service delivery manager in Chiang Mai, Thailand — five hours ahead of Northern Europe.
This role is delivered as part of our AI engineering services. Take the role on its own, or the whole discipline as one delivery team.
What an AI Engineer does on a managed AI engineering team.
Skills and scope are agreed before delivery starts, so the first sprint is productive rather than a ramp-up month. The work runs to the same backlog, the same repositories and the same definition of done as your own team's.
AI Engineer skills and technology we assign for
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Integrating language models into existing products, with retrieval, structured output and tool use.
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Building evaluation sets so a prompt change can be measured rather than guessed at.
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Monitoring cost, latency and output quality after launch, where most AI projects quietly degrade.
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Building the fallback path for when a model provider is slow or unavailable, so the product degrades rather than fails.
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Red-teaming prompts against injection and jailbreak attempts before a feature reaches users.
Seniority levels we assign.
Mid to senior. AI work at junior level tends to produce demos rather than production systems. Seniority is one of the inputs behind the committed monthly capacity written into your agreement.
When an AI Engineer is the right assignment.
The most common AI assignment, working on products already in production. On an ongoing roadmap this role is most often assigned alongside an LLM Engineer or an NLP Engineer. All 4 roles in this service line can sit on the same agreement, and capacity moves between them at the monthly cycle rather than requiring a new contract. The work is delivered as part of AI engineering services at Azendo.
Questions about assigning an AI Engineer.
Can you work with our existing AI feature?
Yes, and that is most of what we do. Retrofitting evaluation and monitoring onto something already shipped is common.
Which model provider do you recommend?
Whichever fits your constraints. We build so that switching provider does not mean rewriting the product around it.
Add AI engineer capacity to your roadmap.
Tell us the scope and the stack. We come back with the profile, the capacity and what the first month looks like, or you can talk to a service delivery manager first.
Assign a AI Engineer to your roadmap.
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