1 to 25 of 55 Permanent A2A Protocol Jobs

delivering AI/ML solutions. Experience in generative AI, working with LLMs, and adding tool calls (MCP) Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform. Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock Typescript proficiency ...

delivering AI/ML solutions. Experience in generative AI, working with LLMs, and adding tool calls (MCP) Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform. Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock Typescript proficiency ...

delivering AI/ML solutions. Experience in generative AI, working with LLMs, and adding tool calls (MCP) Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform. Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock Typescript proficiency ...

delivering AI/ML solutions. Experience in generative AI, working with LLMs, and adding tool calls (MCP) Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform. Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock Typescript proficiency ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini ...

monitoring, reproducibility Observability for agentic systems, covering drift, agent behaviour and performance Familiarity with agent-to-agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape ...

/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP). Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver ...

/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver production ...

GenAI application development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, MCP tools and infrastructure, A2A design and development, data solutions for RAG and vector storage, prompt and context authoring, and more. Databases: Proficiency in RDBMS and NoSQL databases, preferably ...

GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, SDKs and AI-assisted coding toolsA Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience ...

deep understanding of Generative and Agentic AI, LLMs, retrieval-augmented generation (RAG), machine learning, and modern interoperability standards such as the Model Context Protocol (MCP), along with a proven track record of architecting and implementing innovative, enterprise-scale solutions. As a Senior Architect/Consultant, you will play … . Proven ability to architect reliable agentic workflows with memory, state management, orchestration, and safe multi-step task execution at scale. Model Context Protocol (MCP) & Interoperability: Strong working knowledge of the Model Context Protocol (MCP) for standardized, secure connectivity between LLMs/agents and enterprise tools ...

PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/… with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform ...

PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/… with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform ...

PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/… with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform ...

enterprise data groundingArchitect reusable AI design patterns including human-in-the-loop workflows and multi-agent coordination modelsApply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC)Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectationsEnsure delivery adheres to AI governance, data privacy, and regulatory … engineering, and model evaluation approachesHands-on experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI-based integrationStrong Python development skills and knowledge of CI/CD, DevOps, and cloud-native architecturesPractical experience with Azure (Azure OpenAI, Azure ...

robust Python APIs and services (e.g., FastAPI), incorporating async execution, background jobs and containerized deploymentsIntegrate enterprise systems and tools using protocols such as MCP, A2A, OpenAPI, REST and gRPC, ensuring graceful degradation and retriesApply enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets managementImplement evaluation … around cost, latency and accuracy to technical and non-technical audiencesNice to haveExperience using Azure AI Foundry or Microsoft Agent FrameworkKnowledge of MCP and A2A protocols for agent and tool interoperabilityHands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvectorFamiliarity with distributed systems, workflow engines (Temporal, Airflow ...

architectures Strong understanding of distributed systems,service-to-service communication, API Gateways, Kubernetes, cloud-native architecturesHands-on experience working with emerging agentic protocols (MCP, A2A) and interoperability patternsProven ability to work cross-functionally with engineering, security, product, and platform organizationsExcellent communication and storytelling skills, with the ability to articulate ...

evaluation for enterprise data groundingDevelop orchestration engines supporting multi-step planning, delegation, and fallback paths for agent workflowsImplement integration and communication patterns via MCP, A2A, OpenAPI, REST, and gRPCBuild production-grade Python APIs and microservices integrating with enterprise systems and AI servicesApply observability and monitoring solutions (Langfuse, Arize, Grafana … methodologiesExperience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration strategies like planner/executor and tool callingKnowledge of MCP, A2A protocols, and OpenAPI-based integration methodsStrong experience with cloud environments, ideally Azure (Azure OpenAI, AI Foundry, AI Search)Competence in containerized deployments, CI/ ...