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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 1 month ago
Senior Software Engineer - Integrations - AI/ML
ClickHouse
Canada · also open in 4 other locations
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The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible...
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Posted 1 month ago
AI Application Engineer, APJ
Arize AI
Remote (Singapore)
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AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI s...
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Posted 1 month ago
Senior Engineering Manager, AI
AlphaSense
Remote - United States
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AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster...
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Posted 1 month ago
AI Workflow Builder
UnWired Web Solutions
Remote
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Toronto, Canada (UTC-5)
UnWired Web Solutions is a Canadian digital marketing, web and SEO agency that builds AI-driven platforms. We produce local landing pages at scale for...
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Posted 1 month ago
Forward Deployed Engineer, Enterprise
Tavily
London, United Kingdom; Remote - Europe
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Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering,...
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Posted 1 month ago
Platform Security [US]
Brainco
San Francisco Bay Area
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Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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Posted 1 month ago
Deployed Engineer, 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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Posted 1 month ago
Senior Frontend Platform Engineer, Design Systems
LangChain
Remote - US
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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 2 months ago
AI and Automation Engineer - Business Systems
Cerebras
Sunnyvale, CA
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, R...
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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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