---
title: "Hire LangChain Engineers to Build LLM Apps, Offshore"
description: "LangChain engineers who weigh what the abstraction buys against what it costs, then build the LLM application. Offshore, AI-trained, with our delivery team."
url: "https://azendo.co/skills/langchain/"
---

1. [Home](https://azendo.co/)
2. [Skills](https://azendo.co/skills/)
3. LangChain

# LangChain specialists for your dedicated team.

LangChain is a framework for building language model applications, providing abstractions over providers, prompt templates, retrieval, memory, agents and tool use, with a large integration ecosystem.

## Where LangChain fits in a long-term product team.

LangChain's value is highest at the prototype stage. Integrations for dozens of providers, vector stores and document loaders mean a retrieval pipeline can be assembled in an afternoon, and comparing components takes a one-line change.

In production the abstraction can cost more than it saves. Debugging through several layers to find the exact prompt sent is harder than reading a direct call, the API has changed substantially across versions, and many teams eventually replace the framework with a few hundred lines they fully control.

## What your dedicated team does with LangChain.

The useful pattern is prototyping with the framework and being willing to drop it. Recognising when the abstraction has stopped paying for itself is a judgement call, and holding onto it out of sunk cost is the expensive option.

Making that call well is easier with engineers who have been through the cycle before, which is what continuity in a [dedicated development team](https://azendo.co/services/dedicated-software-development-team/) provides.

## Common LangChain use cases.

* Assembling a pipeline quickly Integrations available, so a retrieval prototype exists in a day.
* Comparing components cheaply Swapping vector store or provider as a configuration change during evaluation.
* Knowing when to drop the framework Replacing abstraction with direct calls once the shape of the system is settled.

## Adding LangChain skills to your team.

LLM application work sits with your [dedicated AI team](https://azendo.co/services/dedicated-ai-engineering-team/), with the framework choice revisited as the system matures.

You can add LangChain capacity as one dedicated specialist or as part of a wider remote team, with the people managed by us from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.

## Roles that use LangChain

* [AI Engineer AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/ai-engineer/)

## Service areas that use LangChain

* [AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/)

Capacity is agreed across your whole team, with one monthly fee, not per skill.

## Related in ai and machine learning

* [PyTorch, a skill in our teams](https://azendo.co/skills/pytorch/)
* [TensorFlow, a skill in our teams](https://azendo.co/skills/tensorflow/)
* [scikit-learn, a skill in our teams](https://azendo.co/skills/scikit-learn/)
* [Pandas, a skill in our teams](https://azendo.co/skills/pandas/)
* [NumPy, a skill in our teams](https://azendo.co/skills/numpy/)
* [embeddings, a skill in our teams](https://azendo.co/skills/embeddings/)
* [function calling, a skill in our teams](https://azendo.co/skills/function-calling/)
* [vLLM, a skill in our teams](https://azendo.co/skills/vllm/)

## Tell us what you need LangChain for.

A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.

[Browse all skills](https://azendo.co/skills/)