1 to 25 of 124 Remote/Hybrid Permanent LangChain Jobs

automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent ...

solutions. Proficient in observability, performance optimization, security, and production reliability. Knowledge of Responsible AI, AI governance, compliance, and model risk management. Experience with LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel, or similar frameworks. Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or pgVector. Experience implementing observability and monitoring solutions ...

Java/Kotlin, with a solid understanding of API design, development and integration patterns LLM and Generative AI Expertise Experience with frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc. Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflows Cloud, Deployment & Operations Experience - Familiarity ...

Neural Networks Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning Frameworks & Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud ...

reviews, and cloud platforms such as AWS, Azure, or Google Cloud. Bonus Points For Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation ...

best practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. ...

tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging ...

prompts for production use cases including classification, summarisation, code generation, and autonomous decision‐making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi‐agent orchestration and tool‐use patterns. Excellent engineering skills and strong understanding of Software Development Lifecycle , GitOps ...

deploy AI solutions at scale. What we're looking for Commercial experience building RAG-based AI applications. Strong Python development skills. Experience with LangChain, LlamaIndex or similar frameworks. Knowledge of vector databases such as Pinecone, Weaviate, Milvus or Chroma. Experience with embedding models and semantic search. Familiarity with OpenAI, Anthropic ...

experience developing scalable, modular, and maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning ...

experience developing scalable, modular, and maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning ...

tool use/function calling, structured outputs, and model evaluation. Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services. Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment. Strong problem ...

right answer Proven ability to manage priorities well in a hybrid working environment Preferred criteria Experience with LLM and agent frameworks (PydanticAI, DSPy, GEPA, LangChain/LangGraph, provider agent SDKs or similar), and an informed view of when to use them and when not Experience with evaluation and observability tooling ...

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 ...

commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) LLMOps/MLOps - model versioning, deployment ...

Language Models (LLMs) Retrieval‐Augmented Generation (RAG) Prompt Engineering AI Guardrails AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring ...

environments - not just notebooks and academic experiments. Hands-on proficiency with Large Language Models (LLMs), prompt engineering, and agentic frameworks and orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, or similar). Strong software engineering fundamentals - comfortable working across the stack, from backend services and API integrations to lightweight front ...

ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands‐on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. Strong cloud architecture experience across Azure ...

management on AKS. Strong hands-on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi-step agentic workflows and tool-calling agents. Hands-on experience with Azure AI Search or other vector/hybrid search solutions, including vector ...

scope and impact of your work Although not essential, it would be great if you have practical experience with: Experience with Spring AI, LangChain, LangGraph, LlamaIndex, or similar AI application frameworks Familiarity with modern front-end technologies (such as React and Next.js). Python Kubernetes, Docker and CI/ ...

SaaS environment. Modern AI Stack: Proven expertise working with Python, deep learning frameworks (PyTorch or TensorFlow), and advanced language processing orchestration environments (Hugging Face, LangChain, LlamaIndex, OpenAI/Anthropic APIs). Vector Storage & SQL: Solid competency configuring and query-optimizing vector databases alongside standard relational backends (PostgreSQL, Redis). Cloud ...

commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment ...

technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...

landscape of AI technologies. Experience AI Orchestration & Development: Expert‐level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language ...

Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability ...