76 to 100 of 199 Remote/Hybrid Model Context Protocol Jobs

Cloud, or another cloud platform. Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures. Exposure to generative AI, RAG, AI agents, MCP, or enterprise AI integrations. Experience supporting enterprise applications, scientific/research workloads, IoT systems, or internal platform services. What You’ll Bring 3+ years … device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/CD, containers, or cloud services. Bachelor’s degree in Computer Science , Engineering ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks . Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors . Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending … genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel . Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets ...

mentor engineers Requirements 4+ years' software engineering experience Experience building and shipping production AI applications Knowledge of agentic AI frameworks such as LangGraph, MCP, RAG or similar Experience integrating AI systems with external tools and services Kubernetes and Docker experience Cloud experience, ideally GCP Strong understanding of APIs, microservices ...

core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excellence for all of our AI products Rapidly iterate ...

guide and review AI-generated code with confidence. Hands-on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup ...

into revenue systems and the warehouse. Emerging Tech Exploration: Experiment with and pilot multi-agent orchestration systems, LLM-powered workflows, and protocols (such as MCP or multi-agent orchestration systems) to automate complex operational and administrative tasks. Systems Engineering & Custom Development Custom Scripting & Automation: Write clean, maintainable Python and JavaScript ...

robust Python APIs and services (e.g., FastAPI), incorporating async execution, background jobs and containerized deployments Integrate enterprise systems and tools using protocols such as MCP, A2A, OpenAPI, REST and gRPC, ensuring graceful degradation and retries Apply enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets management … cost, latency and accuracy to technical and non-technical audiences Nice to have Experience using Azure AI Foundry or Microsoft Agent Framework Knowledge of MCP and A2A protocols for agent and tool interoperability Hands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvector Familiarity with distributed systems, workflow ...

helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team … tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team ...

polyglot codebase Fluent or willing to learn Go Hands-on experience building and operating production AI applications using LLMs and agentic frameworks (e.g., RAG, MCP, LangGraph or similar), including tool integration, prompt design, evaluation, guardrails, and token/cost optimization. Demonstrate ability to create reliable agents (prompting, evaluation, guardrails, understanding ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

Chat, Cowork and Claude Code, sufficient to design and facilitate training and workshops on each. This means practical fluency with projects, skills and connectors (MCP), and judgement about which surface suits which kind of work.Enough understanding of how Claude is deployed and administered in an enterprise to design enablement that ...

architects, AI/ML leads, and C-level executives to define Workiva’s role in their AI infrastructure, focusing on data governance, integration, and model orchestration. By positioning Workiva as the system of trust for machine-generated financial, sustainability, and risk data, you will ensure outputs are controlled, reviewed … combination of education and experience in a related field. Preferred Qualifications AI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality. ...

solutions, guiding decisions across low-code, pro-code, integration and AI patterns. You will engineer AI agents and agentic workflows, design MCP-based tools, and ensure security, observability and data boundaries are built in from delivery onward. #J-18808-Ljbffr ...

Skills/Tech Experience Required: GCP Python Vertex AI/Gemini LangChain/LangGraph RAG/Vertex AI RAG Engine Multi-Agent Architectures MCP/A2A Terraform Kubernetes UK based for tax purposes If you're a hands-on AI/Data Engineer looking to work on cutting-edge Google ...