1 to 25 of 68 Remote/Hybrid Permanent LangChain Jobs

teams on best practices Your Skills: 7+ years in data engineering or AI engineering with strong Python and SQL expertise Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases Hands-on with distributed computing (Spark, Databricks) and microservices architecture Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms ...

tuning Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows Understanding of MCP (Model ...

experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

multiple teamsStrong experience with cloud platforms (AWS, Azure, GCP)Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG)Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

like Docker, Kubernetes , and CI/CD pipelines Experience working with data stores (SQL/NoSQL) and large datasets Bonus: experience with AI frameworks (LangChain, LlamaIndex, etc.) Why Join? Be the first AI hire real ownership and influence Work on meaningful, tech-for-good products Modern stack, forward-thinking leadership ...

client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry ...

Data & AI Tooling Experience working with structured and unstructured data. Familiarity with vector stores, embeddings, and document processing pipelines. Exposure to orchestration frameworks (e.g. LangChain‐style patterns) is desirable. Domain Experience (Highly Desirable) Experience delivering AI or data solutions in insurance or financial services. Understanding of insurance workflows such ...

like Docker, Kubernetes , and CI/CD pipelines Experience working with data stores (SQL/NoSQL) and large datasets Bonus: experience with AI frameworks (LangChain, LlamaIndex, etc.) Why Join? Be the first AI hire real ownership and influence Work on meaningful, tech-for-good products Modern stack, forward-thinking leadership ...

like Docker, Kubernetes , and CI/CD pipelines Experience working with data stores (SQL/NoSQL) and large datasets Bonus: experience with AI frameworks (LangChain, LlamaIndex, etc.) Why Join? Be the first AI hire — real ownership and influence Work on meaningful, tech-for-good products Modern stack, forward-thinking leadership ...

scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent ...

testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking ...

developing and deploying machine learning and generative AI solutions in production environments. * Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. * Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including AWS or Azure. ...

technical client sponsors Eligibility for UK security clearance (requires 5 years of continuous UK residency) Desirable Experience Experience with Agentic frameworks such as LangChain, CrewAI, Autogen, or OpenAI Agents Familiarity with RAG pipelines, MCP, and LLM evaluation tools like LangSmith or TruLens Knowledge of software engineering best practices, including Clean ...

Retrieval-Augmented Generation (RAG) pipelines, vector databases (Pinecone, Weaviate, FAISS), and semantic search Fine-tuning, prompt engineering, and model optimization AI agent frameworks (AutoGen, LangChain, LlamaIndex) Multimodal AI (text, image, video, audio processing) Additional Skills & Qualifications Cloud & DevOps Expertise: Proficient with core services (EC2, S3, Lambda, IAM, CloudFormation ...

Looking For 4+ years of experience in Python engineering Hands-on experience with: RAG (Retrieval-Augmented Generation) Agentic workflows Vector databases Experience with LangChain and LangGraph Experience with cloud platforms such as Azure, AWS, or GCP Good understanding of APIs, data pipelines, and CI/CD practices Strong communication skills ...

with advanced stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/ ...

cloud platforms (Azure, AWS, or GCP) Experience handling and processing large datasets Knowledge of prompt engineering, fine-tuning, or LLM orchestration frameworks (e.g. LangChain) Strong problem-solving abilities and a passion for innovation Ability to communicate technical concepts to non-technical stakeholders Ability to work independently and as part ...

with solutions that have already moved to production Experience with RAG architectures, vector databases and agentic AI frameworks or patterns such as ADK, LangChain, LangGraph or comparable approaches Sound understanding of software engineering best practices such as clean architecture, testing, versioning, documentation and maintainable code Strong Python engineering skills ...

with solutions that have already moved to production Experience with RAG architectures, vector databases and agentic AI frameworks or patterns such as ADK, LangChain, LangGraph or comparable approaches Sound understanding of software engineering best practices such as clean architecture, testing, versioning, documentation and maintainable code Strong Python engineering skills ...

Expertise: Experienced in working with large language models, including prompt engineering, RAG, fine‐tuning, agents, evaluation, and safety considerations and frameworks for implementation (LangChain, LangGraph etc...). Research: Reading papers, prototyping, and implementing algorithms (AI or otherwise). MLOps: A strong grasp of CI/CD for models, version control ...

essential to adapt to schedule changes as needed. Preferred Requirements Familiarity with Java-based AI integration frameworks (e.g., Spring AI, LangChain4j) or Python equivalents (LangChain, LlamaIndex). Experience with Vector Databases, semantic caching, and AI observability tools. Experience with NiFi, Kafka, AWS Infrastructure, and K8's. Experience in cloud based ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...