26 to 50 of 134 LangGraph Jobs

of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph , Azure AI Foundry Agents , and Semantic Kernel Agents . Good understanding of software engineering best practices , including version control, testing, and CI/CD. Desirable Skills Experience creating optimised data More ❯

collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects More ❯

collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects More ❯

collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects More ❯

collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects More ❯

collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects More ❯

be part of a small, high-trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments More ❯

be part of a small, high-trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments More ❯

sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure to scientific datasets (e.g. genomics, proteomics) Familiarity with AI/ML deployment, especially NLP tools (LangGraph, AutoGen) Understanding of AI/ML evaluation and iterative improvement Some experience with frontend development (e.g. React) If this opportunity aligns with your experience and interests, please apply with your More ❯

sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure to scientific datasets (e.g. genomics, proteomics) Familiarity with AI/ML deployment, especially NLP tools (LangGraph, AutoGen) Understanding of AI/ML evaluation and iterative improvement Some experience with frontend development (e.g. React) If this opportunity aligns with your experience and interests, please apply with your More ❯

early and deploy often. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) If you are available and interested, please apply today! Name More ❯

early and deploy often. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) If you are available and interested, please apply today! Name More ❯

early and deploy often. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) If you are available and interested, please apply today! Name More ❯

solutions. Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows. Leverage a broad stack of technologies - Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business More ❯

solutions. What We’re Looking For: Lead/Managerial experience as a GenAi Developer/Python (With commercial GenAi FS experience) Python - FastAPI Typescript, React, Next.js or Vite LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama AWS or Azure Your Responsibilities: Collaborate with the development team to build a comprehensive knowledge pool More ❯

/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform More ❯

/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform More ❯

/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform More ❯

/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform More ❯

/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform More ❯

to learn. Expert ability to manage several projects simultaneously from design to implementation. Proven ability to provide indirect leadership to teams executing technical work. Agentic/orchestration: LangChain , LlamaIndex , LangGraph , AutoGen/CrewAI MLOps/workflows: MLflow , Kubeflow, Airflow/Prefect, DVC, Feast Vectors/NLP: pgvector , FAISS/Milvus/Qdrant , Transformers/embedding libraries Automation/low-code More ❯

GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations. Web-based front end development More ❯

GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations. Web-based front end development More ❯

GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations. Web-based front end development More ❯

AI/ML model development RAG (Retrieval-Augmented Generation) with Vector Databases Strong understanding of Azure Cloud Services , Azure AI Search , and ADI (text, table & image processing) Proficiency with LangGraph and LangChain frameworks Nice to Have: Experience with SQL Server , Docker , CI/CD pipelines , SonarQube , PyTest Monitoring and optimisation of production AI apps More ❯