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Role 01

AI Engineer

You’d work on what surrounds the AI model, not the model itself: the company context that reaches it before anyone types, routing each job to the right model, and tests honest enough to show that a cheaper model already does the job.

WhereKochi, in person
TypeFull time
You’d work onBleno and client setups
Experience2 to 6 years, or convince us
01 · What you’d actually do

Most of the week goes into making AI useful inside one specific company: bringing their real documents and methods in, writing down what a good result looks like for a job they do every day, and then proving the results improved. Some of it is retrieval and prompt design. A lot of it is measurement, because without a clear quality bar, choosing a model is just guessing with confidence.

  • Build company, role and personal setups, and the rules that stop a personal tweak from overriding a company rule.
  • Define a quality bar for each job, then build the tests that check whether a run met it.
  • Route work across model tiers so routine steps stop running on the most expensive models, with costs tracked by app and by person.
  • Ship the named jobs people actually use, in chat and inside a client’s own product.
  • Write down what you learned so the next person starts where you left off. The project notes are part of the job, not paperwork afterward.
02 · What you’d need
  • Strong Python, and enough TypeScript to be useful where the AI meets the interface.
  • Real experience putting an LLM system into production: retrieval, tool use, structured output, handling failures. Papers are welcome. Something that ran is better.
  • An instinct for evaluation. If you’ve ever argued that a demo proved nothing, you’ll fit in.
  • Plain writing. A finding an owner can’t act on isn’t finished.
  • Comfort writing “I couldn’t verify this” to a client.

Not required: a degree in the field, loyalty to any agent framework, or benchmark trivia.

03 · How you’d be measured
  • How often the first result on the jobs you built gets approved. Measured, not claimed.
  • The share of work a cheaper model can be trusted with. It should keep rising.
  • Whether your setup works for the next client too. That’s worth more than one that impressed this one.
04 · How hiring works
  • Show us: Use the form below to send one thing you’ve built and are proud of. We read everything that comes in, and if there is a fit we’ll come back within a week.
  • Work through something together: An hour or two with the people you’d work beside, on a real problem from our work.
  • Decide: A conversation with the two people you’d work beside, then a clear yes or no, with the reason.

Apply for AI Engineer

Send one thing you’ve built that you’re proud of: shipped, unfinished, or just for fun. Tell us what it is, why you made it, and the part you’d defend in a room. That tells us more than a résumé.

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Applications go to hr@tghtech.com. A person reads every one.

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Not this one? The other open role is closer to building product features than to how AI models behave.

Full-Stack Engineer →