51 to 75 of 253 Model Context Protocol Jobs

Docker and Kubernetes • Solid grasp of API integration, tool/function calling and agent orchestration Nice to have • Model Context Protocol (MCP) • Kafka or event-driven architectures • MLOps, LLM evaluation, observability and monitoring To apply or find out more, get in touch. #ContractJobs #AIJobs #GenAI #AIEngineer #LangGraph ...

cross-functional teams Strong stakeholder management and client-facing leadership capability Desirable Experience Experience in Banking or Capital Markets (strong preference) Exposure to MCP (Model Context Protocol) Experience operating in regulated enterprise environments Ability to contribute to ROI modelling, business cases, and AI value articulation Experience contributing ...

raise the bar for the entire engineering org. What You'll Do Design and own end-to-end AI features: from prompt engineering and model selection through to scalable APIs and responsive front-end surfaces. Architect multi-agent and agentic workflow systems using frameworks such as LangGraph, CrewAI, AutoGen … with RAG architectures, embedding models, and semantic search at scale. Strong grasp of distributed systems, API design, and cloud-native infrastructure (AWS) Experience with MCP (Model Context Protocol), tool-use patterns, and multi-agent orchestration in production. Demonstrated ability to lead without formal authority, influencing direction through ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … Experience with automation and workflow orchestration for operational efficiency.Published contributions to open-source or industry-recognized projects. Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise ...

cases in Corporate IT (productivity, collaboration, automation). Knowledge/experience with agentic AI and the model context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi ...

data delivery platform. As part of the API team, you will build the next generation of Meltwater’s AI and platform capabilities, focused on MCP (Model Context Protocol), OAuth, permissions, and enterprise-grade governance. Your work will help bring Meltwater’s intelligence into external AI workflows. What … design, development, and optimization of API, export and MCP features. Collaborate closely with product managers and senior engineers to define functionality, while architecting systems that handle high-throughput data pipelines. Participate in building robust export pipelines, streaming architectures, webhook integrations and MCP servers. Maintain high observability and reliability standards using ...

process domain to better support the business and align technologies with the business outcomes Develops cross-disciplinary knowledge and an understanding of the market context to drive organization-level solutions Work with the engineering leadership team to develop and execute on the company's technical and business strategy Conduct … knowledge of DevOps processes Experience with agentic orchestration frameworks such as LangGraph or LangChain, and familiarity with the Model Context Protocol (MCP) for building or securing agent tool interfaces Experience with policy-as-code frameworks (OPA, Cedar, or equivalent) in production cloud environments, particularly for access control ...

architecture, AI readiness and help them technically validate Amazon Connect. - Design agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action and Agent-to-Agent integration. - Represent the voice of the customer; bring customer feedback to product teams … thought reasoning, and autonomous agent workflows - Experience with CCaaS adjacent capabilities including Analytics, WFM/WFO, CRM technologies. - Familiarity with interoperability protocols such as MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication - Experience with Amazon Connect ...

language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ...

outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit.***Build the Architectural Context Engineering Teams Operate Inside***ADRs, service interaction patterns, NFR targets, and data contracts are not documentation — they are the substrate that lets engineering teams … signal back into product and architecture decisions**Bonus Points*** Background in email security, threat detection, DLP, identity, or data platforms* Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture* Experience with eval design for AI features, product discovery practices, or data contract/data ...

experience is essential Hands‐on experience with LangChain and agent orchestration frameworks Experience building and integrating solutions using Model Context Protocol (MCP) Practical experience integrating and evaluating Large Language Models (LLMs) Experience developing RAG architectures, vector search solutions and knowledge‐driven applications Strong understanding of API integration ...

assisted software development. Ideally, you’ll have experience of, or a genuine interest in: Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern ...

assisted software development. Ideally, you’ll have experience of, or a genuine interest in: Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern ...

agent delegation, and session/state management. Experience authoring custom skills or slash commands for Claude Code to codify team‐specific workflows. Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources. Working knowledge of RAG patterns and vector store integration (e.g. ...

usage across all engineering teams. System Orchestration: Integrate AI solutions seamlessly with CI/CD pipelines and Model Context Protocol (MCP) servers to create automated, end-to-end development cycles. Strategic Collaboration: Partner with cross-functional engineering teams to embed AI-driven processes directly into core SDLC … large scale enterprise/industrial SDLC (large enterprises with complex process/tools). Given they need to apply their genAI skills in the context of a transformation from old to new...leading/guiding/designing how old style meets new style of engineering. Often we see inexperienced developers ...

with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents, and Model Context Protocol (MCP). Hands‐on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching ...

self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana, ZDX) for proactive monitoring and insights. Provide engineering and support for MCP (Model Context Protocol) and AI agent integrations. Ensure AI-driven compliance, security monitoring, cost optimization, and continuous network stability improvements. Collaborate with Cloud ...

Additional Skills/Preferences Experience developing AI‐enabled software solutions, including integration of REST APIs, Python‐based automation, Model Context Protocol (MCP), agent frameworks, and structured tools that expose product capabilities to AI assistants and autonomous agents. Experience developing engineering, simulation, CAD, CAE, EDA, scientific, or other ...

architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance. Experience in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust. Ability to design end‐to‐end secure, observable multi‐agent systems using complex design patterns (ReAct … expertise, systems engineering, and coding skills to build an engineering squad. Identify skill gaps in emerging tech (Model Context Protocol (MCP), tool‐calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack. Collaborate with product and engineering to resolve blockers ...

developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment (ROI). Architect and code the \"connective tissue\" between Google’s AI products and customer's live infrastructure, including ...

Conversational AI and CX applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment. Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between ...

self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana, ZDX) for proactive monitoring and insights. Provide engineering and support for MCP (Model Context Protocol) and AI agent integrations. Ensure AI-driven compliance, security monitoring, cost optimization, and continuous network stability improvements. Collaborate with Cloud ...

developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment (ROI). Architect and code the "connective tissue" between Google\’s AI products and customer's live infrastructure, including ...

Python, APIs, etc. Familiarity with AI-assisted development and agentic coding tools (Claude Code, Cursor, Codex) and the Model Context Protocol (MCP) is a plus Experience with web development and containerized software is a plus Strong sales acumen and proven experience partnering with AEs to drive ...

Azure OpenAI Design, develop and support secure REST APIs using C# and .NET Build and manage Azure Functions and serverless services Develop and support MCP Servers and AI integration services Design event-driven architectures using Azure Service Bus Manage APIs through Azure API Management Expose AI capabilities through secure, auditable … design and development Azure AI Foundry Azure OpenAI Event-driven architecture Azure integration engineering Secure API design Production support and operational ownership Desirable Experience MCP Servers Model Context Protocol Semantic Kernel Prompt Flow Agentic AI AI orchestration frameworks Copilot Studio Power Platform integrations RAG architectures AI governance ...