1 to 25 of 63 LangGraph Jobs

Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI projects that shape the future of telecoms Be part of a forward-thinking, collaborative team that More ❯

or pharmaceutical industry experience 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) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience with frontend software development (e.g. React More ❯

or pharmaceutical industry experience 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) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience with frontend software development (e.g. React More ❯

or pharmaceutical industry experience 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) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience with frontend software development (e.g. React More ❯

or pharmaceutical industry experience 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) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience with frontend software development (e.g. React More ❯

or persona-based evaluations. 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), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at More ❯

or persona-based evaluations. 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), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at More ❯

of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based systems More ❯

Data Science, Engineering, or a related field. Strong programming skills in Python (and/or R, Java, Scala, SQL), with hands-on experience in frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, AutoGen, and vector/graph databases. Peer-reviewed publications in AI/ML or related fields. Experience with patient-level, longitudinal healthcare data, epidemiology, or biostatistics. Knowledge of real More ❯

of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based systems More ❯

regulated envioronments Excellend communication and stakeholder management skills Bonus Points: Advanced degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a More ❯

creating automation for GitHub, using GitHub Actions or related continuous integration tools. Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow. Experience developing, deploying or maintaining On-prem or Cloud Infrastructure Ability to quickly learn and use new tools and technologies. The following will be considered a plus: Experience More ❯

or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate (inside IR35) Cutting-edge AI/ML More ❯

or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate (inside IR35) Cutting-edge AI/ML More ❯

or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate (inside IR35) Cutting-edge AI/ML More ❯

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 ❯

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 ❯

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 ❯

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 ❯

/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 ❯

techniques Practical experience with GenAI techniques such as Finetuning, Prompt engineering, prompt orchestration, retrieval methods (RAG and Knowledge graph techniques), Agentic Systems etc. Knowledge of Agentic frameworks such as LangGraph, Azure AI Foundry Agents, Semantic Kernel Agents etc. Knowledge of prompt orchestration and optimisation techniques such as Azure Semantic Kernel, Prompt flow etc. Skilled at working with AI engineers to More ❯