201 to 225 of 532 Model Context Protocol Jobs

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 ...

architectures Strong understanding of distributed systems, service‐to‐service communication, API Gateways, Kubernetes, cloud‐native architectures Hands‐on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns Proven ability to work cross‐functionally with engineering, security, product, and platform organizations Excellent communication and storytelling skills, with the ability ...

least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist Nice to Have Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows Track record of defining engineering best practice or developer experience within ...

design and coordinate effective test strategies.* Design, develop, execute, and maintain automated and functional tests within CI/CD pipelines.* Leverage AI tools (e.g., MCP, Copilot, ChatGPT) to optimise testing efficiency and workflows.* Develop and maintain scalable, self-healing automation frameworks (e.g., Playwright).* Integrate AI-driven tooling into automation ...

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 ...

accelerate analysis. Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP-enabled tools. Design and maintain high-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats. … Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc. Ability to work with APIs, JSON, MCPs, Git or version-controlled artifacts, and lightweight automation or prototyping workflows. Excellent written and verbal communication skills ...

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 ...

solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost Experience deploying AI solutions into production with focus on cost … evaluating multi‐agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness Confidence contributing to pre‐sales while also being able ...

communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom … enterprise-grade AI products and services.* Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities.* Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.* Develop reusable AI frameworks, accelerators and engineering standards.Engineering Excellence* Lead technical implementation across multiple AI initiatives.* Define solution architecture ...

working with either threat modeling, risk assessing or auditing cloud technologies (AWS, Google and Azure), Generative AI/agentic systems and tool integrations (A2A, MCP) Recognized cloud security certification (CCSP, CCSK, AWS certifications etc.) Solid understanding of internal control concepts with the ability to evaluate and determine the adequacy ...

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 ...

Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity #J-18808-Ljbffr ...

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 ...

collaborate credibly with Data Scientists and Actuarialcolleagues. Hands-onexperience applying AI and LLM tooling to analytics work (such as Copilotfor Power BI/Fabric, MCP-style integrations or agentic assistants). Experiencewith Microsoft Fabric, dbt, Azure DevOps/GitHub Actions and data-qualitytooling. This is an excellent opportunity to join ...

enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals. ...

problems. Responsibilities Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company’s AI products and customer’s live ...

Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

with Java 21Familiarity with Spring framework and Spring BootKnowledge of RDBMS and NoSQL databasesExperience with KafkaExpertise in microservices architectureAbility to leverage AI tools like MCP servers and Claude to enhance productivityJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent ...

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 ...

Drive the ongoing transition from monolithic to distributed architecture. Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Own technical decisions balancing immediate business needs with long‐term architectural goals. Hands‐On Development Write production‐quality Python code for critical platform ...

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 ...

communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United … enterprise-grade AI products and services. Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities. Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms. Develop reusable AI frameworks, accelerators and engineering standards. Engineering ExcellenceLead technical implementation across multiple AI initiatives. Define solution architecture ...

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 ...