301 to 325 of 585 Model Context Protocol Jobs

Knowledge Layer for AI agents, including context management, indexing, retrieval, governance and distribution strategies. Evaluate and productionise approaches for context delivery, including MCP architectures, local retrieval models, indexed code repositories and distributed knowledge platforms. Establish governance processes for AI skills, prompts and reusable agent capabilities, including approval, versioning … operational datasets, ensuring appropriate governance, entitlements and data controls. Define evaluation frameworks to measure AI solution accuracy, latency, cost, reliability and operational effectiveness across model and platform changes. Collaborate closely with platform engineers, quant-developers, DevOps and operational support teams to embed AI into engineering workflows. The team ...

users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock … sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock … sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

powered features across the healthcare platform, building LLM, Generative AI, and Agentic AI solutions for production use. You will work on multi-agent workflows, MCP implementations, RAG, vector databases, and real-time AI pipelines, ensuring secure and scalable services. #J-18808-Ljbffr ...

partner with onshore and offshore teams to design and deliver innovative technology solutions for the front office and Credit Risk Business, using Python, FastAPI, MCP, LLM, and Java. The role focuses on building enterprise-scale, componentized applications and participating in an evolving tech stack. #J-18808-Ljbffr ...

Anaplanners is seeking a Principal Software Engineer who can bridge front-end and back-end work, designing scalable GenAI features and integrating MCP services. You will lead architecture and rollout of autonomous AI agents, ensure robust observability, and collaborate with product and design teams to turn vision into production-ready ...

creative diplomat in client engagements, building trust with skeptical Executive Creative Directors and lead 3D artists Drive adoption of modern pipeline paradigms, including MCP-driven agentic workflows, custom node-graph architectures, and automated render pipelines WHAT YOU'LL NEED 8+ years in Creative Technology, 3D Pipeline Engineering, or Visual ...

customers to design, develop, deliver and maintain the product capability roadmap. The capabilities include, but not lmited to, Agent Hub, RAG, Documentation Intelligence, Portal, MCP and AI Gateways. This role requires a blend of strong technical background, deep product experience, and the ability to collaborate/drive cross-functionally with ...

controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within ...

iterate on the UK-EU outbound motion (account targeting, messaging, sequencing, experimentation). Run live product demos independently and speak credibly about APIs, MCP, and integration architecture. Partner with pre-sales engineers on deeper technical validation and enterprise security conversations. Collaborate closely with Product Marketing to refine messaging for technical ...

Working knowledge of SQL, HTML, CSS, and JavaScript. Using AI coding assistants to accelerate development while owning the outcome. Exposure to agentic frameworks or MCP server development. Knowledge of financial concepts, exchange trading, or physical energy trading. For more information about DRW's processing activities ...

what is delivered Mentor engineers on craft, and develop their judgement about when and how to use AI tooling Build and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platform Build systems, tools and solutions in an AI-native way Represent engineering ...

quality of what is deliveredMentor engineers on craft, and develop their judgement about when and how to use AI toolingBuild and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platformBuild systems, tools and solutions in an AI-native wayRepresent engineering credibly with ...

what is delivered Mentor engineers on craft, and develop their judgement about when and how to use AI tooling Build and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platform Build systems, tools and solutions in an AI-native way Represent engineering ...

looking for someone excited to help define how European enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? How do you deploy frontier models in line with GDPR, EU data residency, and the EU AI Act? If working ...

tasks (containers, cloud configuration) — at Encore, engineers regularly jump between the two Experience working with AI-assisted coding tools, such as Claude Code Skills, MCP servers and Routines. A product and commercial mindset: the ability to weigh technical work against business impact, prioritise ruthlessly, and know what ...

improve it, and build something with AI that actually works. Skills Hands-on with modern AI tooling: LLMs, agent frameworks, prompt engineering, evals, MCP, retrieval Strong systems thinking and engineering judgment Process design instinct. You can spot waste, redundancy, and bad handoffs and propose something better Comfortable in code-adjacent ...

sites one to two times per month. German speaking a must-have . Desired Skills Kafka or event-streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup or scale-up experience. Who Thrives at Gravitee At Gravitee ...

direction on internal tooling as its complexity grows. Get hands-on with cutting-edge tools like Claude Code, Cowork, Cursor, and custom MCP integrations, with the freedom to explore new AI tooling that drives product innovation — setting the standard for AI tooling across the team. As these tools evolve ...

team and set the bar in design reviews and code reviews. Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. Participate in on-call rotations and respond to critical stability issues affecting users. Document your work clearly and share knowledge with the rest ...

reporting best practice Solid SQL capability Experience building and developing applications or customer-facing digital solutions Exposure to AI technologies and large language model integrations Experience with agentic AI workflows and automation Knowledge of Model Context Protocols (MCPs) Strong stakeholder management and communication skills Experience delivering executive ...

design, retrieval-augmented generation (RAG) architectures, and at least one agentic AI framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI) Experience designing and building data and context pipelines … systems — including embedding pipelines, vector databases, and semantic search applied to structured commerce data Familiarity with emerging agentic commerce protocols — such as MCP, A2A, or ACP — and how they are being adopted to connect AI agents with enterprise commerce systems and product data Working knowledge of cloud platforms ...

secure, scalable, and observable APIs and microservices for AI/ML solutions; Implement CI/CD for ML services and infrastructure as code; Monitor model and data drift and performance; Establish guardrails for safe AI usage, including prompt security, evaluation frameworks, and privacy compliance; Contribute reusable components, documentation … real-time ML systems in production; Familiarity with RAG architectures, prompt engineering, guardrails, and evaluation techniques; Experience developing agentic capabilities, including agent skills, MCP servers, and tool usage; Strong understanding of security, privacy, and governance principles, including IAM, secrets, and PII handling; Effective communication skills and ability to work with ...

with a Master's degree. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Exposure to agentic or LLM‐based systems, and curiosity about the eval, observability, and rollback story … Science or related field, or equivalent experience. Beneficial Experience Interest in AI‐driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred. Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons ...

microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Prior experience taking agentic or LLM‐based systems to production — not just prototypes — including the eval, observability … Science or related field, or equivalent experience. Beneficial Experience Experience with AI‐driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred. Large scale event processing a plus but not required. Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation ...