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Remote LangChain Jobs

Browse remote LangChain positions — LLM app development, RAG systems, AI agents, and production LLM orchestration at companies building real AI products.

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LLM Application Engineer RAG Engineer AI Agent Developer LangChain Developer LLM Integration Engineer

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Jobs & Projects

LangChain

Posted 4 days ago

AWS Alliances Lead

LangChain

New York, NY · also open in 2 other locations

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lead
Full-time
English
Full page
CodeRabbit

Posted 1 week ago

Senior Applied AI Engineer

CodeRabbit

San Francisco

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senior
Full-time
English
$200K – $300K / year
reinforcement learning generative ai langchain llm typescript +5 more
Full page
OpenRouter

Posted 1 week ago

Scaled Support Specialist

OpenRouter

Remote (US)

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Full-time
English
$115K – $140K / year
Full page
Qventus

Posted 1 week ago

AI Tooling Engineer

Qventus

Remote, United States

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Full-time
English
$120K – $150K / year
python langchain llm typescript rag +1 more
Full page
Snowflake

Posted 2 weeks ago

Senior AI/ML Architect, Applied Field Engineering

Snowflake

US-TX-Remote

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senior
Full-time
English
$165K – $217K / year
Full page
Apify

Posted 2 weeks ago

Fullstack Engineer, Integrations

Apify

Prague

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Full-time
English
python aws node.js react langchain +8 more
Full page
ClickHouse

Posted 2 weeks ago

Langfuse - Senior Software Engineer, SDK

ClickHouse

Germany

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senior
Full-time
English
€90K – €160K / year
python langchain llm typescript llamaindex +2 more
Full page
LangChain

Posted 3 weeks ago

Deployed Engineer (Singapore) - APAC

LangChain

Remote - Singapore

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Full-time
English
Full page
Prime Intellect

Posted 3 weeks ago

Member of Technical Staff - Training Platform

Prime Intellect

San Francisco

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staff
Full-time
English
Full page
Prime Intellect

Posted 3 weeks ago

Member of Technical Staff - GPU Infrastructure

Prime Intellect

San Francisco

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staff
Full-time
English
Full page

Role guide

What to expect in remote LangChain jobs

LangChain has become the primary framework for building production LLM applications. Remote LangChain jobs involve designing RAG pipelines, building autonomous AI agents, and integrating LLMs into real products. The strongest candidates have experience going beyond documentation examples to debug real production LLM behaviour.

What you'll work on

  • Build RAG systems that answer questions over large proprietary document corpora
  • Design multi-step AI agents that use tools and APIs autonomously
  • Integrate OpenAI, Anthropic, or open-source LLMs into existing products
  • Create evaluation pipelines to measure and improve LLM output quality

What companies look for

  • Production RAG experience — chunking strategies, retrieval tuning, re-ranking
  • Understanding of LangChain Expression Language (LCEL) and agent frameworks
  • LLM evaluation and prompt optimisation practices

Frequently asked questions

What remote LangChain jobs are posted on RemoteAI?

LLM application development roles, RAG system engineering positions, and AI agent development jobs. Most require Python proficiency and hands-on experience building LLM-powered features beyond simple API calls.

Do LangChain jobs require knowledge of vector databases?

Most RAG-focused LangChain roles do. Pinecone, Weaviate, Chroma, and pgvector are common. The exact stack varies by company — check individual listings.

Is LangChain experience enough, or do I also need raw LLM API experience?

Both help. Companies value engineers who understand what LangChain does under the hood — prompt formatting, chain execution, memory management — not just the high-level API.

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