51 to 75 of 99 Permanent CrewAI Jobs

developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platforms Experience operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model ...

productionExperience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patternsExperience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platformsExperience operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving ...

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 for connecting AI models to external tools ...

agentic AI systems — including LLM-powered application design, retrieval-augmented generation (RAG) architectures, and at least one agentic AI framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI) Experience designing and building data and context pipelines for AI systems — including embedding pipelines, vector databases, and semantic search applied to structured commerce data Familiarity ...

Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with AI tooling/frameworks (e.g. LangChain, LlamaIndex, Haystack, Hugging Face, CrewAI) Experience leading SaaS/cloud-based HR or enterprise platforms Skilled at using data and analytics to identify outcomes and improve decision making; e.g. process ...

Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with AI tooling/frameworks (e.g. LangChain, LlamaIndex, Haystack, Hugging Face, CrewAI) Experience leading SaaS/cloud-based HR or enterprise platforms Skilled at using data and analytics to identify outcomes and improve decision making e.g. process ...

engineers and application teams. Agentic AI Experience Hands-on experience with at least one agent/workflow orchestration framework such as LangGraph, Google ADK, CrewAI, AutoGen, Semantic Kernel, or an equivalent custom framework. Data & Integration Experience Complex SQL and relational databases. Structured transaction, event or operational data. JSON, REST APIs ...

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 ...

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 ...

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, and incident ...

Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred) Python Proficiency: Experience with Python for AI prototyping and tooling (prefered) Experience with Kubernetes ...

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 ...

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 ...

provenance tracking, including web automation, parsing, and document processing Agent frameworks - hands‐on experience with multi‐agent orchestration tools (e.g., Google ADK, StrandsAgents, LangGraph, CrewAI, or equivalents) Real world data sources – HER, claims, prescriptions, registries - and their pitfalls. AI-augmented development - effective use of agentic coding assistants (Copilot, Cursor, Claude ...

tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We’re a fantastic team of bright, ambitious people who love to bring ...

experience with LLMs (GPT, Claude, Gemini, Azure OpenAI). Experience building Agentic AI and RAG solutions. Hands-on with LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, or similar frameworks. Experience with Azure AI Foundry, Azure OpenAI, AKS, Containers, Cosmos DB, SQL, REST APIs, and Microservices. Proven experience leading engineering teams ...

Python, TypeScript, C# or similar modern programming languages. Experience designing and developing AI agents and agentic applications using frameworks such as Semantic Kernel, LangGraph, CrewAI or AutoGen. Hands‐on experience with Azure AI Foundry, Azure OpenAI or Databricks Mosaic AI to build enterprise AI solutions. Experience developing cloud‐native applications ...

client servicing, and the operational and regulatory constraints of financial institutions. Hands-on, recent experience with at least one agentic framework — LangGraph, LangChain, AutoGen, CrewAI, or comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ ...

ability to explain complex technical concepts to non-technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel).Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. Familiarity with BI platforms (e.g., Qlik, Power ...

Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation. Experience with workflow and process automation tooling such ...

Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation. Experience with workflow and process automation tooling such ...

using tools. Command of agentic design patterns (e.g., ReAct, planning, reflection, tool use, human-in-the-loop) and agent frameworks such as LangGraph, CrewAI, MAF, the OpenAI Agents SDK, and Google's Agent Development Kit (ADK). Proven ability to architect reliable agentic workflows with memory, state management, orchestration … used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector ...

production-ready code. Agentic AI Experience: Proven, hands‐on experience building multi‐agent workflows or complex LLM orchestration pipelines (e.g. LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen). Multimodal AI Knowledge: Experience working with Vision‐Language Models (VLMs) and an understanding of how to process video, images, and audio through GenAI ...

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, and observability (e.g. LangSmith … 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 Databases – PostgreSQL, MongoDB, or Firebase Cloud & deployment – AWS, GCP, or Azure ...

Orchestration : Production, hands‐on experience with an agentic framework such as LangGraph, plus familiarity with MCP‐based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code — you care about system reliability as much as model output. Evaluation & observability : Practical experience ...