201 to 225 of 416 Permanent LangChain Jobs

based processing with agent-based reasoning in the same architecture Solid Python and SQL skills, and hands‐on experience with LLM or agent frameworks (LangChain or similar) Understanding of identity and authorisation models extended to non‐human/agent principals - delegated authority, composite human‐plus-agent identity A data‐driven ...

delivering production generative AI initiatives. Hands‐on experience with LLMs (OpenAI, Anthropic, Google, or open‐weight models like Llama/Mistral) and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent). Practical expertise in RAG design, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search). Experience with agentic ...

year of GenAI experience). Hands‐on experience with LLMs (OpenAI, Anthropic, Google, or open‐weight models like Llama/Mistral) and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent). Practical experience with RAG, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search). Familiarity with agentic architectures ...

tool and function calling, state and memory management, control flow (branching, loops, retries), and human in the loop checkpoints, using a framework such as LangChain/LangGraph, Amazon Bedrock AgentCore, CrewAI, LlamaIndex, Strands Agents, Google ADK, or OpenAI Agents SDK. Familiarity with MCP (Model Context Protocol) or similar standards ...

5+ years building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend fundamentals including API design, async ...

stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias testing) LLMOps/MLOps: model versioning ...

software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache ...

software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache ...

beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen. Familiarity with AI‐assisted coding tools such as Claude Code, Codex, or similar, with the ability to validate and understand AI-generated code. ...

software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache ...

software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache ...

automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. Current major projects include delivering AI Gateway and supporting LangChain/LangGraph infrastructure for Elliptic's AI products, managing disaster recovery (DR) infrastructure, and administering Kubernetes clusters across multi-region AWS environments. You’ll work ...

software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production-level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache ...

complex initiatives. Complementary AI Based Skills LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry ...

applications integrated into various platforms- Managing CI/CD pipelines for AI systems using GitHub Actions- Implementing vector databases and orchestration tools like LangChain- Translating complex business problems into software-engineered AI solutions- Deploying on cloud platforms like AWS, GCP, Azure- Contributing to open-source projects or AI/ ...

production services and product workflows Design and build agentic AI systems (multi‐step planning, reasoning, tool use, and memory) using frameworks such as LangGraph, LangChain Agents, AutoGen, or CrewAI Implement guardrails, human‐in‐the‐loop approvals, and escalation so agents act safely within defined boundaries, and instrument agent evaluation, tracing … Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen, or CrewAI; tool/function calling, orchestration, memory, and guardrails RAG & vector databases —-Pinecone, Weaviate, or Chroma ...

experimentation and business adoption, delivering enterprise-grade AI solutions for major clients. You will design, build and scale AI/ML systems, leverage LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling, and work with Azure/AWS/GCP. #J-18808-Ljbffr ...

automated testing with pytest • Experience supporting and improving large, established production codebases, with a strong understanding of secure software development Experience with LangChain, RAG, vector databases, Azure, Entra ID, OAuth/OIDC, Redis, Terraform, Helm, Prometheus, Grafana or OpenTelemetry would be valuable but is not essential. Current SC clearance ...

throughout the full product lifecycle from concept to release. Tech stack Python or TypeScript React js OpenAI Anthropic Azure/AWS PostgreSQL Vector Databases LangChain REST APIs Docker What we're looking for Commercial software engineering experience building modern web applications. Hands-on experience with Generative AI or LLM integrations. ...

software engineering concepts Experience as a hands-on practitioner developing production AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge ...

Bristol. Desirable Experience with modern front-end frameworks (React, Next.js or similar). Familiarity with LLM APIs and Gen AI frameworks (e.g. OpenAI, Anthropic, LangChain). Knowledge of CI/CD pipelines and Infrastructure as Code (e.g. CDK, Terraform). Experience with data pipelines, databases or analytics tooling. A portfolio ...

production,understanding of deployment options and trade‐offs. Practical LLM experience: prompting, fine‐tuning or adapter methods, and building RAG systems. Orchestration: for example LangChain for pipelines/agents. RAG best practices and evaluation workflows (e.g., agentic/RAG patterns on SageMaker). Comfortable choosing the right technique ...

connecting APIs and enterprise systems. ML & Generative AI: Experience building ML pipelines plus practical exposure to embeddings, vector databases, and RAG; agentic frameworks (like LangChain/LangGraph) a plus. Technical Skills: Strong Python proficiency; experience with Databricks on Azure (preferred), data services, and CI/CD pipelines; Microsoft Power Platform ...

expertise in Python, asynchronous programming, system design, and backend engineering fundamentals. Hands-on experience building production systems involving: LLM orchestration or agent frameworks (Pydantic, LangChain, custom orchestration). Data pipelines, ETL, embeddings, or vector search Retrieval-augmented generation (RAG) or model-backed workflows High-performance APIs and distributed services Strong ...

data trade-offs with senior stakeholders. Consultancy, professional services or similarly demanding client-facing delivery experience. Useful additional experience Semantic Kernel, Microsoft Agent Framework, LangChain or LangGraph. Azure AI Search, Document Intelligence or Content Safety. Microsoft Fabric or Databricks. Azure Container Apps, Functions, App Service or AKS. MLOps/LLMOps ...