51 to 75 of 216 LangGraph Jobs

genuine understanding of their capabilities, limitations and failure modes Practical familiarity with RAG architectures, vector databases and prompt engineering Exposure to agent frameworks (LangGraph, Claude Agent SDK, OpenAI SDK) or equivalent custom implementations An interest in LLM evaluation, debugging and observability Cloud platform experience (AWS, GCP or Azure ...

Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent ...

modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry). Hands‐on experience with PyTorch, leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex. Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews and building reproducible prototypes with critical outcome analysis. Mindset: Rapid Experimentation – Comfortable with ...

Ericsson automation-related certifications.TM Forum Open API certification.Nice-to-Have QualificationsExperience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.Experience building secure automation for production telecom ...

certifications. TM Forum Open API certification. Nice-to-Have Qualifications Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms. Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks. Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms. Experience building secure automation ...

systems + Prompt engineering and basic agent workflows + Vector search and retrieval concepts* Familiarity with Gen‐AI frameworks/tools such as **LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n)** *(hands‐on experience preferred, but deep ML expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude ...

frontier and translates what matters into the roadmap. Strong with the Java/Spring ecosystem. Strong with Typescript and Python for AI (LangChain, LangGraph, or equivalent agent framework) - production experience required. Equally comfortable in both stacks. Hands‐on with vector databases including embedding models, hybrid search, re‐ranking, and retrieval ...

transformer‐based systems Prompt engineering and basic agent workflows Vector search and retrieval concepts Familiarity with Gen‐AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n) hands‐on experience preferred, but deep ML expertise not mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude ...

production environments Hands-on experience designing and deploying agentic AI solutions in a production environment - non-negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent - at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management ...

engineering and model selection through to scalable APIs and responsive front-end surfaces. Architect multi-agent and agentic workflow systems using frameworks such as LangGraph, CrewAI, AutoGen, or custom orchestration layers. Build retrieval-augmented generation (RAG) pipelines with production-grade chunking, embedding, indexing, and reranking strategies. Integrate LLM providers (OpenAI ...

multiple 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 ...

enterprise environments Some experience working within engineering teams in agile, client‐facing delivery contexts AI, data and technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry).* Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex.* Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis.* Rapid Experimentation Mindset: Comfortable with ...

Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability ...

deployment experience, not just experimentation Azure OpenAI, Ollama and/or Vertex AI Python, FastAPI and REST API development LangChain and/or LangGraph AKS, Kubernetes, Docker and Helm Secure AI development and DevSecOps practices including: RBAC Azure AD Key Vault Secrets management Secure deployment patterns Auditability and governance ...

technically complex challenges Excellent communication and collaboration skills within multidisciplinary teams Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence ...

Python skills, ideally including FastAPI. Strong AWS experience, including services such as Bedrock, Lambda, ECS/EKS, API Gateway and S3. Experience with LangChain, LangGraph, RAG, vector databases and multi-agent systems. Experience building APIs, platforms, tools and AI-enabled products. Familiarity with evaluation and observability tools such as Arize ...

Experience developing generative AI applications, AI agents, vector search, and retrieval‐augmented generation patterns Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside vLLM ...

teams and executive stakeholders. Excellent problem-solving skills with the ability to navigate ambiguity and deliver pragmatic solutions. Nice to Have Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks. Knowledge of vector databases and semantic search technologies. Experience with Python alongside TypeScript. Familiarity with Kubernetes, Docker, Infrastructure ...

year of hands‐on experience designing and deploying agentic AI solutions in a production environment – non‐negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent – at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management ...

leading machine learning engineering or development teams. Experience with LLMs and agentic AI systems, including relevant frameworks (e.g., Agents SDK, Anthropic SDK, AWS Bedrock, LangGraph, CrewAI). Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks). Exposure to fraud detection, anti‐money laundering, anomaly detection ...