201 to 225 of 253 Model Context Protocol Jobs

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud‐based software to track and model power grids around the world. As a Senior Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools … infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme ...

tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity or Capital. Experience in defining data strategy for advanced analytical initiatives, including data governance, sourcing, and ethical … skills that can drive your career. By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole ...

strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We’re Looking For 6+ years’ backend … experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Strong TDD experience Java/Microservices/API design/LLMs/ ...

Flow Execution Engine , the Constraint & Policy Store , and the Audit Log Service . Conduct competitive analysis across AI agent execution platforms, large language model providers, and adjacent market alternatives to inform product direction and differentiation. Identify customer problems and monetization opportunities, develop solution concepts, and validate them through close … code , enforcement patterns, and audit trail completeness in regulated environments. Fluency in agentic AI concepts at the platform level, including harnesses, context, tools, MCP, skills, agent identity, registration, and session lifecycle. Hands-on experience with AI agent platforms or major AI providers such as OpenAI , Claude , Amazon Bedrock , Vertex ...

subject matter specialists—across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference—providing the architectural vision, technical governance, and cross-domain coherence that bind their contributions into a unified, enterprise-ready system. You will …/IAP binding, and defense‐in‐depth enforcement Define the layered guardrail framework applied at every boundary, balancing protection with performance Govern the MCP control plane—registry, gateway, and risk scoring—across all internal and third‐party servers Mandate adopt‐over‐build for productized evaluation and observability stacks Establish FinOps ...

agent sessions, and review outcomes critically before they ship. Build and maintain the team’s agentic tooling: custom Claude Code skills and sub-agents, MCP tools exposing internal APIs, prompt/context conventions (CLAUDE.md), and automated review pipelines. Design the verification that makes agent speed safe: test strategy, quality … communication: design docs, specifications, PR descriptions, and commit history that both humans and agents can act on. Bonus points if you have Experience building MCP servers or exposing internal APIs as agent-callable tools. Experience with LLM evaluation: eval suites, behavioural test design, or benchmarking agent workflows. Functional programming ...

Integrate into: GenBI Playbook onboarding and rollout models Drive adoption of standards across AI CoE, business domains and federated teams 5. Automation & Tooling (e.g. MCP, Q-score) Set and agree minimum standards for controlled adoption of emerging tooling , including: MCP (integration/orchestration patterns) Q-score/quality frameworks semantic … Standard GenBI Release Model (in operation) Incident & service management model (embedded) Standards integrated into playbooks and onboarding Defined and piloted approach to MCP/automated quality tooling Success Criteria (End of 2026) All GenBI solutions follow consistent testing and release standards Audit requirements are fully addressed with evidence ...

quality code and can turn AI capability into real business impact. Key Responsibilities Responsibilities Design, build and maintain core AI platform components - LLM gateway, MCP connector layer, observability tooling, and privacy Proxy Develop and harden MCP connectors across data sources (M365, Salesforce, Moody's, internal systems) through PoC, pilot … building with LLM APIs (Anthropic, OpenAI or similar) in production environments Experience building AI Solutions is essential Experience with agentic frameworks, tool use, and MCP or equivalent connector patterns desirable Familiarity with observability and evaluation tooling for AI systems Understanding of data platforms - Databricks or similar - and how to expose ...

PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including ...

Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks … prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy or client-facing delivery experience Desirable: Vector databases, embeddings, fine-tuning Cloud experience (AWS preferred) Open-source contributions or visible ...

hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Experience enabling technical teams on Agentic AI. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Excellent communication skills. About … yours. Responsibilities Serve as a 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 infrastructure ...

guardrails, and policies. Rapidly prototype agentic flows hands-on: orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations ...

product manager and under the technical direction of a Lead Engineer. Apply AI‐native engineering, using the GenAI platform for backend plumbing, API integrations, MCP server builds, and data connections. Design architecture, integrations, and data flow within the platform, using engineering judgement to decide when to solve natively versus bespoke. … platform natively versus bespoke engineering. Familiarity with Azure and Microsoft 365 is an advantage. Hands‐on experience with LLM integration patterns, MCP tooling, and AI‐enabled or agentic development environments. Comfortable using GenAI tools such as Copilot, Claude or ChatGPT to prototype and iterate solutions. Inclusive Culture We value uniqueness ...

engineering tooling responsibly to improve delivery productivity, including integrated agentic coding assistants, prompt engineering, code review support and, where appropriate, agentic workflow patterns and MCP‐based integrations. Mentor developers and improve team capability across C#/.NET, OpenShift, MongoDB, SQL, messaging, platform engineering and modern engineering practices. Ensure appropriate unit … service delivery capabilities. Knowledge and practical experience of AI‐enabled development tooling, integrated agentic coding assistants and prompt engineering; experience designing agentic workflows or MCP‐enabled integrations is desirable. Risk IT, Product Control IT, ESG IT, regulatory technology or financial‐services domain experience is desirable. #J-18808-Ljbffr ...

more critical architecture domains - such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference - serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns … decisions for AI platforms (e.g., Arize, LangSmith) and foundational models. Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane. Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement. Design and implement a certification ...

Pleo's internal AI infrastructure team, the platform every customer-facing AI feature is built on. The team owns LLM serving (LiteLLM), the MCP gateway and tool registry, agentic runtime, evaluation tooling, and the observability layer that makes AI outputs trustworthy at scale. This is a technical engineering management role … delivery, quality, team development, and ways of working. Own the execution of the platform roadmap including but not limited to LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition. Manage the stakeholders relationship with Data & AI Products as the primary internal customer and ensure ...

decision making across drug discovery, clinical development, and commercial operations. Design and productionise scalable GenAI solutions using approaches such as retrieval augmented generation (RAG), MCP-style integrations, and selectively applied agentic patterns, balancing capability, cost, performance, and trust to deliver measurable value from proof‐of‐concept through early adoption … enrichment, and hybrid architectures using vector stores alongside relational databases. Proven ability to deploy AI systems into production environments, with effective monitoring of model behaviour, data drift, cost, and latency, and the judgment to make pragmatic trade‐offs for reliability, scalability, and enterprise adoption. Establishing robust operational practices, including ...

hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Experience enabling technical teams on Agentic AI. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About … yours. Responsibilities Serve as a 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 Google’s AI products and customer's live infrastructure, including ...

Rego, Cedar). Set high bar for authentication and authorization, data protection, least privilege, encryption, micro-segmentation, tagging strategy, integrations via API and MCP, and secure AI agentic design. Write and review scripts, and IaC (Python, Terraform, AWS CDK, CloudFormation, Rego). Lead exploratory POCs on emerging technologies. Define … tying applicable audit standards to AWS service features and functionality. The team works with AWS’s largest enterprise customers to operationalize the shared responsibility model as they migrate to the cloud. Basic Qualifications Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++ ...

ours, so we’re also looking for experience developing AI enabled applications and workflows. This includes knowledge around platforms and frameworks (e.g. N8N, Mastra), context engineering, using vector stores, RAG, fine-tuning and evaluation. You will have a growth mindset, always keen to learn and explore, and you like … dependency management. Familiarity with Bun is also desirable. Proficient with AI tooling including delivering code using CLI or editor-based LLM agents, using MCP servers Solid understanding of the React paradigm, including one way data binding, declarative programming, rules of hooks, react anti-patterns Practical experience of software engineering principles ...

that is now AI. Our AI chatbot is live with customers, and there's plenty left to build - new agents, new tooling, new MCP integrations. You'll also help evolve the infrastructure that processes retail data at a serious scale. It's a rare mix: mature systems with real users … Analysts and Customer Success, to understand business requirements, identify problems, and develop innovative solutions. Build our AI chatbot, along with the agents, tooling and MCP integrations behind it - used both internally and by customers. Lead by example on how we build with AI, while raising the bar on code quality ...

traffic environments Build and deploy production AI Agents using raw and fine‐tuned foundational Large Language Models (LLMs), along with sub‐agents, tools, and MCP integrations Architect end‐to‐end ML pipelines, integrating data processing (e.g., Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including …/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross‐functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture ...

Execution: Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support Establish governance checkpoints appropriate for high-stakes government deployments Problem-solve complex technical challenges … Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator Comfortable discussing API integrations, model inference, data pipelines, and ML operations with ...