151 to 175 of 584 Permanent Model Context Protocol Jobs

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 ...

embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovationLeverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standardsDesign, build, and deploy intelligent, scalable solutions that integrate machine learning … driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality ...

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 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 ...

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 ...

fully defined spec. Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving. Who You AreBeyond the qualifications, we hire through a specific lens. These aren't buzzwords; they … designing or running experiments, including A/B tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous ...

/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 ...

/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 ...

Moody's is seeking an Associate Director-Product Manager to lead strategy, development, and delivery of AI-enabled Model Context Protocol products in a London context. You will own the roadmap, define requirements, and partner with engineering, design, data, security, and strategy teams. Ideal candidates have extensive ...

strategies and roadmaps to accomplish business outcomes. Maintain a strong information security and responsible AI posture, ensuring risk mitigation and adherence to data protection, model governance and applicable regulatory requirements. Qualifications What you’ll bring Extensive technology experience. The ideal candidate will demonstrate hybrid expertise in engineering and technology … constraints and proven hand in navigating variable regional requirements in the implementation of centralized enterprise assets. Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. Practical experience designing, building and deploying ...

patterns, governance, and delivery support.CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way.The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.LSEG AI Assist/Internal MCP ...

governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services "for" product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution. LSEG AI Assist/ ...

understand business challenges and identify AI transformation opportunities Design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities Lead technical discovery workshops, architecture design sessions, POCs, technical validation, and production deployment planning Work with customer engineering teams during … complex technical issues and optimise AI application performance in enterprise production environments Design scalable enterprise AI architectures using LLMs, Prompt Engineering, RAG, AI Agents, MCP, fine-tuning, inference optimisation, vector databases, API integration, workflow orchestration, and cloud-native AI services Collaborate with Product, Engineering, and Research teams to translate customer ...

constraints and proven hand in navigating variable regional requirements in the implementation of centralized enterprise assets. * Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. * Practical experience designing, building and deploying … extensions. * Hands-on experience integrating with large language models via APIs, including tool use, governed data access and emerging interoperability patterns such as the Model Context Protocol. * Strong understanding of generative AI engineering fundamentals, including: o Prompt engineering and context design. o Context engineering, retrieval-augmented ...

automate engineering workflows such as testing, code reviews, documentation, operational support, and data quality monitoring. Familiarity with AI interoperability and orchestration protocols such as MCP, A2A, or similar frameworks. Experience influencing technical strategy across multiple teams and driving organization-wide engineering improvements. Why Choose Fitch: Work-Life Balance First ...

voice, chat and email. Our agents are already live: a pay as you go voice assistant built on a real time speech to speech model, a multi channel customer facing agent spanning voice, chat and WhatsApp, and a standalone agentic webchat service running on AgentCore Runtime. As a Senior … harness. Define what accuracy, containment and safe behaviour mean for each product, assemble regression sets, and make it possible to ship a prompt or model change with evidence rather than optimism. Implement guardrails and safety controls, including PII handling, out of scope refusal, jailbreak resistance and clean escalation ...

rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. … production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management ...