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Remote LangChain Jobs
Browse vetted 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 19 hours ago
Partner Solutions Architect
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
Tech Lead, Backend - GraphAware Hume
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications an...
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Posted 1 day ago
Consulting Engineer
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications an...
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Posted 1 day ago
Software Engineer - Backend - Behavioral Security Products
At Abnormal AI, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermin...
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Posted 1 day ago
Forward Deployed Engineer, Ecosystem
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 2 days ago
Senior Frontend Engineer, AI Observability & Evals Platform
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 3 days ago
Analytics Engineer
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 3 days ago
AI Engineer - Public Sector
Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $6...
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Posted 5 days ago
Langfuse - Product Engineer, Integrations
Why Integrations Engineering at LangfuseYour work puts Langfuse into developers’ hands.Our SDKs are downloaded 26M+ times per month, and for many deve...
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Posted 5 days ago
Member of Technical Staff, Full Stack
About Us:Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, w...
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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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