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Hire AI engineers for language-model systems

These engineers build software on top of language models: assistants that answer from your own documents, readers for invoices and contracts, and agents that take steps in your systems.

What these engineers do

Knowledge assistants
retrieval over your documents, so answers carry citations.
Document readers
extraction from invoices, KYC papers, contracts and claims.
Agents
workflows that call your ERP, CRM, email or database, with a person approving the uncertain cases.
Evaluation
releases are scored against a test set before they ship.
Model switching
a layer that lets you change the model without rewriting the application.

Controls built into the work

A language model can be wrong. The engineers cannot remove that, so they make it visible: answers cite their sources, a scored test set catches regressions, and low-confidence results go to a person. Agents run under a budget cap, an allowlist of actions and a kill switch.

Stack

Models
Claude and GPT APIs, and open-source models
Retrieval
vector databases and embeddings
Agents
LangGraph
Serving
vLLM on Kubernetes and GPUs, where a model runs on your own hardware
Tracing
OpenTelemetry

The kind of work

In a lending workflow, the AI work was the reader for KYC papers: it pulls out the fields and sends unclear files to a person. See the case.

Who this role fits

Hire these engineers when staff search for answers in folders of documents, when a manual document check holds up a process, or when a workflow touches several systems and needs a person only at the uncertain steps. They suit a team that can supply sample documents and a way to judge an answer as right or wrong.

What to put in your brief

  • The task, and what a correct result looks like
  • Sample documents or cases, as many as you can share
  • Where data may travel, and which model providers are allowed
  • The systems an agent would need to read or change
  • Who reviews the uncertain cases

How a team starts

You send a brief with the task and the documents involved. We shortlist, you interview and approve each engineer, and they join your repositories. On bigger builds a two-week feasibility spike on your real data comes first. A single engineer is the smallest start, with a one-month minimum. Hire terms apply. How soon engineers start is agreed at the start of the engagement.

Tell us the role

Request engineers

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Notice

Who collects your data
Brihat Infotech Private Limited, Ranchi, Jharkhand, India. Write to privacy@brihatinfotech.com.
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How to complain to the Data Protection Board of India
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Which document or decision should a model handle first?

Tell us what you want to build.

The first call is 45 minutes with an architect, usually the founder. It is free, and we will sign an NDA first if you ask.