1 to 25 of 45 CrewAI Jobs

cloud platforms such as AWS, Azure, or Google Cloud. Bonus Points For Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation platforms such ...

Pinecone, Weaviate, FAISS). Experience in designing and scaling GenAI chatbots. Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler Good understanding of Responsible AI principles Ability to transform business problems into analytical solutions, fostering ...

applications using TypeScript. Familiarity with frameworks such as Next.js, Vite, or similar. Generative AI Technologies Experience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools. Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar. Familiarity with ...

Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

Google Vertex AI Agent Builder, AWS Bedrock, or Azure OpenAI Familiarity with agentic AI frameworks and tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part of a commerce or customer technology ...

SageMaker, Amazon Q, Amazon OpenSearch (vector), and Guardrails for Amazon Bedrock. Expertise in agentic frameworks and orchestration patterns (e.g. Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI or equivalents) and emerging standards such as the Model Context Protocol (MCP).Expertise in RAG and retrieval patterns using vector stores and embedding models ...

7+ years software engineering experience 2+ years hands-on in AI/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture Nice ...

pipelines or prototypes; vector databases; prompt engineering; orchestration tools (Airflow/Prefect); Git Advisory: designing AI/data architectures; Agentic AI principles (LangGraph, CrewAI, AutoGen); mentoring specialists without formal authority; AI governance (security, privacy, observability) Desirable: cloud platforms (AWS/Azure/GCP); Docker/Kubernetes; MLOps/DataOps monitoring ...

processing tools CI/CD and MLOps practices Experience designing multi-agent or tool-based AI workflows using technologies such as: Bedrock AgentCore LangGraph CrewAI Strong experience with Amazon OpenSearch vector search (k-NN) and semantic retrieval Highly Desirable Amazon Textract, Comprehend or Kendra experience AML/KYC domain knowledge ...

Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable \n Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level \n 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 ...

workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute tasks across multiple tools. Production Engineering: Work collaboratively with Data Engineers to ensure model deployments are supported by robust data ...

workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute tasks across multiple tools. Production Engineering: Work collaboratively with Data Engineers to ensure model deployments are supported by robust data ...

systems in production Strong stakeholder communication, translating architecture into business outcomes for senior stakeholders Preferred Skills and Experience Familiarity with agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) and their production deployment Understanding of LLM governance: data privacy, guardrails, and responsible-use controls Track record defining and enforcing architectural governance ...

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 Cloud platforms ...

understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI) Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions ...

with: AI application patterns Retrieval-Augmentation Generation (RAG) prompt engineering tool calling agentic workflows evaluation of LLM-based outputs Frameworks and orchestration LangChain LangGraph CrewAI Models and platforms OpenAI and/or Azure OpenAI Vector search and retrieval Weaviate or equivalent vector database technology Data and model support selecting ...

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 ...

engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with ...

engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with ...

+ semantic) Performance optimisation for large-scale retrieval workloads Software Engineering Strong Python development experience within production environments. Experience with: LangChain LlamaIndex LangGraph or CrewAI AWS SDK (Boto3) PyPDF Amazon Textract Unstructured.io Experience implementing CI/CD pipelines and deployment automation. Governance & Regulated Environments Experience delivering solutions within highly regulated ...

production software practices. hands-on experience with LLMs, prompt engineering, retrieval-augmented generation and agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI or comparable tools. experience with cloud and data platforms such as Azure, Databricks or similar environments. understanding of MLOps, LLMOps, evaluation frameworks, observability, monitoring and model ...

with Generative AI and agentic systems - LLM-powered application design, retrieval-augmented generation (RAG), and at least one agent framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI).Experience designing and building data and context pipelines for AI systems -=embedding pipelines, vector databases, and semantic search over structured commerce data. Hands-on delivery ...