NLP Engineer assigned to your roadmap.
An NLP Engineer handles language problems that do not need a large model, and often should not use one. Classification, extraction and search over text.
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 NLP 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.
NLP Engineer skills and technology we assign for
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Text classification, named entity recognition and information extraction from unstructured documents.
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Semantic search and similarity over your own corpus.
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Multilingual handling, which matters more for European products than most vendors assume.
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Building annotation guidelines so training data is consistent between annotators.
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Handling domain-specific vocabulary that general models tokenise badly.
Seniority levels we assign.
Mid to senior. Classical NLP knowledge is increasingly rare and increasingly useful. Seniority is one of the inputs behind the committed monthly capacity written into your agreement.
When an NLP Engineer is the right assignment.
Often cheaper and more accurate than a language model for narrow, high-volume text tasks. On an ongoing roadmap this role is most often assigned alongside an AI Engineer or an LLM 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. This capacity is assigned under AI engineering services rather than sold as a separate engagement.
Questions about assigning an NLP Engineer.
Why not just use a language model for this?
For narrow, high-volume text tasks a smaller model is often more accurate, far cheaper and easier to evaluate. We will tell you which applies.
Can you work with non-English text?
Yes. Multilingual handling matters more for European products than most vendors assume, and it is scoped explicitly.
Add NLP 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 NLP Engineer to your roadmap.
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