126 to 150 of 532 Model Context Protocol Jobs

strong emphasis on maintainability, consistency, and developer experience. Hands-on experience designing and integrating AI-powered applications using Model Context Protocol (MCP) servers, LLM APIs, agent workflows, tool orchestration, Desirable Skills/Experience Strong understanding of design token architecture, token governance, and cross-platform token management using ...

intelligence workflows. 3. Shape the Future of AI‐Driven Intelligence (Longer Term) You will: Prototype and test Model Context Protocol (MCP) servers enabling Natural Language Querying (NLQ) and Natural Language Generation (NLG). Support experimentation with NLP and LLM‐driven enrichment alongside analysts and researchers. This … world‐class intelligence data environment, including: A fully operational graph‐based data pipeline handling heterogeneous sources A scalable knowledge graph schema and entity‐relationship model A robust lineage and governance framework A future‐focused roadmap for team and capability growth Key Skills and Experience Strong hands‐on experience with ...

live at scale in enterprise with room to grow. Malcolm is in production with Aviva for Home and Life insurance, operating through MCP (Model Context Protocol) and 1st party chat experiences. We have a small engineering team, a clear technical roadmap, and a founder who has deep … lead the engineering team (currently 1-3 engineers), hiring deliberately as the roadmap demands. Work directly with insurer partners on integrations - the commercial context matters here and you'll be in those conversations. Be a genuine co-founder partner to the CEO: product strategy, commercial decisions, fundraising narrative. ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

frontier foundation models. You will be a valued member of the AI & Digital Engineering team and work collaboratively with architects, engineers, hyperscaler and frontier model partners, and clients. This is a hybrid technical-leadership role: you'll architect solutions that push what frontier models — large language models, multi-modal … orchestration, prompt and context management, retrieval pipelines, vector stores, agent frameworks, and tool/context integration (including emerging protocols such as MCP) Define and enforce responsible AI, governance, and assurance frameworks — covering bias, safety, data privacy, and model risk — aligned to client and regulatory requirements (including ...

orchestration, prompt and context management, retrieval pipelines, vector stores, agent frameworks, and tool/context integration (including emerging protocols such as MCP) Define and enforce responsible AI, governance, and assurance frameworks - covering bias, safety, data privacy, and model risk - aligned to client and regulatory requirements Lead … team of AI engineers and architects, building technical capability and clear career pathways within the practice Own technical relationships with hyperscaler and frontier model partners (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI) to stay ahead of platform capability Drive reusable accelerators, frameworks, and IP that ...

machine learning to real business problems, ideally including agentic or LLM-based systems. Strong grasp of modern platforms: cataloguing and metadata, semantic and context layers, and data quality across structured and unstructured data. A track record of influencing senior business and technology stakeholders and translating between them. Systems … enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms ...

enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms … pushing back on scope, proposing better alternatives, and protecting quality and team capacity when it counts. You stay current as the tooling and model landscape shifts, and you help the people around you do the same. "I can apply in less than 4 minutes." You've reviewed this ...

This role is responsible for defining how we collect, structure, analyse and act on AI-specific telemetry signals—including prompt patterns, model performance, MCP call usage, latency, error conditions, cost metrics, user behaviour signals, and system reliability. You will develop a telemetry foundation that supports: AI governance & risk model … ensure instrumentation is consistent, scalable and compliant. Signal Design & Data Architecture Identify key signals required for: Quality & reliability Latency & throughput Cost tracking & optimisation MCP usage patterns User workflow insights Failure pattern detection Guardrail and safety event monitoring Define retention rules, PII considerations, anonymisation and usage policies in partnership with ...

technology investment decisionsAct as the single point of accountability for post-sales technical strategy and architectural decisions for flagship accountsAI, Agentic Automation & Enterprise MCP StrategyShape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystemAdvise on the design and adoption of agent-based workflows, human … loop models, and decision automationPartner with customer executives to define enterprise MCP (Model Context Platform/orchestration) strategies, including: Context management across applications, data, and workflowsSecure orchestration of AI agents and automationsGovernance, observability, and lifecycle management for AI-driven systemsAlign AI and agentic initiatives with enterprise security ...

with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation techniquesPrevious success in integrating GenAI solutions into enterprise-scale systemsWhy Join CapcoDeliver high-impact technology ...

ready to), and you bring clarity and momentum to a team. NICE TO HAVE Agentic systems — experience building and running agents in production. MCP ecosystems — familiarity with Model Context Protocol tooling. Frontend design systems — component libraries and design systems at scale. Financial products/trading/ ...

coding assistants such as ChatGPT, Claude, Gemini, GitHub Copilot or Codex. Awareness of agentic engineering approaches, AI-assisted workflows and tools such as Model Context Protocol would be advantageous. Experience working with AWS, managed databases and DevOps practices, including Git, GitHub, code review, CI/CD, deployment ...

retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security … work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector ...

vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs … while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate ...

task unsupervised. A private repository or a work project you can describe in detail counts. You are fluent with tool calling, structured output, the Model Context Protocol, and at least one agent framework or SDK (LangGraph, CrewAI, the OpenAI or Claude Agent SDKs, PydanticAI, or a hand ...

CLIP and CLAP) across diverse, real-time sensor streams. To succeed, you must possess strong architectural intuition, deeply understanding the technical compromises inherent in model selection and able to identify the optimal agentic design pattern for specific tasks Your responsibilities will include: Building core agentic product features; researching, planning … foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders ...

driven enterprise projects and Model Context Protocol integration. You will develop automated testing frameworks, evaluation pipelines, and quality controls for MCP components within our AI platform. You will work in a Classic Agile environment to guarantee reliability, accuracy, and performance of agent-driven workflows in enterprise-scale ...

surface an agent is permitted to touch alongside what needs a human to sign it off, and giving scientists a way to describe a protocol and watch it run. A recurring theme is closing the loop, since assuming a command was obeyed is rarely good enough. Depending … Design data models and pipelines for experimental data, sample tracking, and provenance, so that results are traceable from raw instrument output back to the protocol and physical sample that produced them. Work directly with scientists to understand manual protocols, then translate them into automated workflows, iterating as the biologyand ...

agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference optimisation or sequential decision-making. Experience designing model evaluations and translating research ideas into reliable software. Desirable Experience developing multi-agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with … fine-tuning, DPO, GRPO, PPO, RLHF or RLAIF. Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. Experience deploying open-source language or vision-language models, including distributed training or GPU computing. Experience applying AI to scientific, engineering, energy ...

adopted safely across engineering teams. Define practical engineering standards for AI-generated code, tests, documentation, technical designs and pull-request contributions. Establish prompt, context and specification standards that improve the quality and consistency of AIassisted engineering outputs. Design and develop bounded engineering agents for activities such as requirements analysis … where priorities can change in response to customer and operational needs. Strong written communication and the ability to collaborate asynchronously. Desirable Experience Experience implementing MCP servers or clients. Experience with agentic workflows or multi-agent systems. Experience designing AI evaluation or governance frameworks. Experience selecting models and tools based ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology … teams to implement a business solution Investigate possible bug scenarios and production support issues Recent experience with modern Python Development using Large Language models, Model Context Protocol, & Retrieval Augmented Generation (RAG) architecture Experience developing application in Financial Services industry is preferred What We Can Offer ...

analyze and document requirements. Develop Multi Agent Solutions, Copilot Studio (PVA), Canvas apps, Cloud Flows, Desktop Flows, Dataverse artefacts, AI Builder, Business Process Flows, Model‐Driven Apps, and Power Pages. Engage directly with teams within the client and Avanade environments to share knowledge and upskill them. Stay … working with Copilot Studio/Power Virtual Agents. Expertise in Power Automate Flows (both desktop and cloud) and computer use. Experience in Canvas and Model‐Driven App development. Experience working with Dataverse Tables and data formats such as XML and JSON. Competent understanding of Microsoft365, including M365 Copilot Teams ...

/application development Strong SQL skills Experience working with AI/LLMs within applications Experience with agentic AI/agentic workflows Experience with MCPs (Model Context Protocol) Strong understanding of VisOps, UX and data storytelling Experience creating clear, executive-level reporting and analytics What Will Make ...