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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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Posted 3 months ago
Deployed Architect, Professional Services (APAC)
LangChain
Remote - Singapore
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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Posted 3 months ago
Partner Alliance Lead - Federal
LangChain
Washington DC
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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Posted 3 months ago
Deployed Architect, Professional Services (Remote)
LangChain
Los Angeles, CA
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 1 month ago
Applications closedAI Chatbot Handoff Summary Engineer
Brenvo Tech
Remote
Los Angeles, United States (UTC-8)
Have you ever been transferred from a bot to a human agent and had to repeat everything from the start? Our customers' end users hate it, and so do th...
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Posted 1 month ago
Applications closedAI Call Summarization Prompt Engineer
Galtion Intelligence
Remote
New York, United States (UTC-5)
Have you ever read an AI-generated call summary that confidently invented a refund nobody promised? Our customers have, and they are tired of it. Galt...
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Posted 1 month ago
Applications closedAI Search Snippet Rewrite Prompt Engineer
Halvio Tech
Remote
Paris, France (UTC+1)
Can a better meta description double clicks on a page that already ranks? For many of our clients, yes. Small team, clear problem. We manage content f...
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Posted 1 month ago
Applications closedAI Agent Trajectory Grading Researcher
Zenora Labs
Remote
Zurich, Switzerland (UTC+1)
We exist to make claims about AI agents measurable. Grading a single answer is a solved problem; grading a 40-step agent run that browsed, called tool...
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Posted 1 month ago
Applications closedAI Prompt Template A/B Testing Engineer
Lontex Tech
Remote
Berlin, Germany (UTC+1)
Our LLM product team spread across research and applied engineering ships prompt changes weekly, but until now those changes went live based on gut fe...
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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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