76 to 100 of 532 Model Context Protocol Jobs

project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps … MCP) opportunity. ...

backend services and REST/GraphQL APIs using Java/Spring Boot (or equivalent modern backend stack). Contribute to system architecture and data model design in collaboration with senior/lead engineers. Write clean, well-tested, maintainable code following TDD/BDD practices and team coding standards. Participate … strong aptitude to learn) building or integrating agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI , or the Model Context Protocol (MCP) . Ability to design and expose backend services as tools/functions callable by AI agents (tool schemas, function calling, structured outputs). Experience with ...

solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What … LLMs: building RAG solutions, agentic workflows, integrating LLMs (e.g., OpenAI, Gemini, Anthropic, etc.) into products, building and integrating Model Context Protocol (MCP) servers, and authoring Claude Skills to extend agent capabilities, etc. Experience in cloud-native development (AWS), with infrastructure and DevOps principles. Strong systems thinking, architectural ...

support. Smartsheet is building a market-leading AI narrative anchored in organizational intelligence, agentic workflows, and the Model Context Protocol (MCP), and this role exists to make that narrative land with EMEA field teams and the enterprise buyers they serve. As a Sr. Product Marketing Manager … executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet’s enablement platformHighspot: discovery slides, AI use‐case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement, and qualitative field feedback ...

support. Smartsheet is building a market-leading AI narrative anchored in organizational intelligence, agentic workflows, and the Model Context Protocol (MCP), and this role exists to make that narrative land with EMEA field teams and the enterprise buyers they serve. As a Sr. Product Marketing Manager … executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet's Enablement platformHighspot: discovery slides, AI use-case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement, and qualitative field feedback ...

Experience with agentic AI frameworks - multi-agent orchestration, planning and tool use, and integration patterns such as the Model Context Protocol (MCP); familiarity with Google ADK, Arize Phoenix SDK, Claude skills is a must. Overall knowledge of the Software Development Life Cycle, and a solid understanding … anomaly-detection approaches such as Isolation Forest, Local Outlier Factor, and locality-sensitive hashing. Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity ...

translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholders. Knowledge of Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services ...

platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. We\'re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers ...

platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. Why You’ll Love This Role You will build and lead the AI engineering capability for two of the most ...

internal data sources. Develop reusable tools and services that AI agents can invoke for retrieval, investigation, analysis and workflow execution. Apply RAG/context retrieval where regulatory documents, historical knowledge or issue repositories need to be searched. Implement confidence scoring, validation, guardrails and traceability for AI-generated outcomes. Build … advantageous. Familiarity with regulations such as EMIR, MiFID II or SFTR is a plus. Nice to Have Model Context Protocol (MCP) and reusable agent tool interfaces. Knowledge Graph/Graph RAG or data-lineage concepts. Vector databases, hybrid search or re-ranking. AI observability and evaluation frameworks. ...

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 and data sources Basic data pipeline or ETL experience … feeding data into AI systems Awareness of AI specific security, compliance, and governance considerations (data handling, model risk, responsible use policy), particularly relevant given our regulated sector clients Experience monitoring AI system performance and cost in production Awareness of fine tuning, when and why it's used, even without ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

develop robust, scalable, and maintainable automated test frameworks Collaborate with product managers, machine learning engineers, and data scientists to translate AI features and model behaviors into test cases and validation criteria Improve testing processes and infrastructure, integrating automated checks into CI/CD pipelines Identify, document, track, and analyze … challenges of testing generative AI outputs Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP) Experience with AWS, Azure, or GCP and Docker or Kubernetes in a CI/CD environment is a big plus Exceptional analytical skills and keen ...

enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible ...

quality expectations, refresh, and change management. Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read and write‐back. Embed data protection and security into the architecture, including consent, retention, minimisation, and cross … fluent, with practical experience of AI tooling and an understanding of machine‐readable definitions, agent access patterns, and Model Context Protocol (MCP) over structured data. Essential Hands‐on design of data for commercial decisioning, including pricing or revenue management and marketing measurement, with deep capability ...

build enterprise workflow automation solutions. Experience integrating Microsoft 365 services, including Teams and SharePoint. Demonstrated technical leadership and mentoring capabilities. Desirable Skills: Familiarity with MCP (Model Context Protocol) services. Knowledge of Generative AI, LLMs, or Agentic AI technologies. Experience with Azure cloud services. Proficiency in CI/ ...

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 ...

least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within … stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

APIs and concepts — including prompt engineering, RAG, function calling, agent frameworks, and tool use. Claude (Anthropic) experience is specifically valued. Working knowledge of MCP (Model Context Protocol) and equivalent integration frameworks — comfortable connecting AI capabilities to enterprise systems in a governed way. Experience with workflow automation … landscape. BENEFITS Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working #J-18808-Ljbffr ...

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 ...

software development, low-code technologies, AI agents, or a hybrid approach, and design solutions accordingly. Build and deploy Model Context Protocol (MCP) servers that securely expose firm tools and data as needed to the firm’s internal AI agents. Design, develop, and deploy custom software applications that ...