21 of 21 Remote Model Context Protocol Jobs

implement LLM-powered services, integrate models into APIs and workflows, and help build agent-to-agent and Model Context Protocol (MCP) integrations. You will partner closely with product and data science to deliver secure, reliable capabilities that drive customer acquisition, strengthen loyalty, and expand State Farm … teams: Digital or Billing & Payments. Some Responsibilities May Include: Design, build, manage and implement GenAI solutions Design, build, and manage Agent-to-Agent and MCP (Model Context Protocol) servers Integrate LLMs into production systems via APIs, pipelines, and workflows Partner with data scientists, product managers, and cross ...

cases in Corporate IT (productivity, collaboration, automation). Knowledge/experience with agentic AI and the model context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi ...

Exposure to modern AI tooling, agents, or workflow orchestration frameworks Tech Environment You’ll work across a modern, AI-first stack including: Agent Frameworks: MCP (Model Context Protocol), agent-to-agent systems, emerging agent tooling Frontend: TypeScript, React, Next.js Backend: Python, Node.js Data & ML Platform: Databricks Infrastructure ...

CD. Nice to Have Familiarity with Google Cloud Platform (GCP). Bonus points for experience with AI, Machine Learning (PyTorch/TensorFlow), LLM frameworks (MCP/Langchain), or scientific Python (NumPy/Pandas)—though this is absolutely not necessary to apply. Infrastructure as Code. Degree in CS/Maths/ ...

domain experts to translate business requirements into well-defined modelling tasks. Build end to end ML pipelinesfrom feature engineering and preprocessing to deployment ready model outputs. Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation … like Pegasus, Ragas, DeepEval Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript (preferable) Solid understanding of LLMs, prompt engineering, and graph-based ...

testing practices (TDD). Desirable Skills Python and FastAPI for backend development. Experience with AI-assisted development tools and AI agents. Awareness of Model Context Protocol. Experience working with Figma or collaborating from design files. This role is ideal for a motivated and disciplined developer, whether self-taught ...

machines, and Azure Foundry. Working knowledge of C#, .NET, Docker, and Kubernetes . Ability to research, evaluate, and implement cutting-edge AI frameworks (e.g., MCP). Desirable: Experience with end-to-end deployment of GenAI orchestration and associated services. Experience creating, monitoring, and troubleshooting APIs. Knowledge of traceability, auditability ...

skills Confident in client-facing environments, working with both technical and business stakeholders Solid understanding of systems design and architecture Exposure to LLMs, RAG, MCP, or agent-based workflows is a plus (not essential) Why Join? Work on high-visibility, enterprise-scale AI projects Be part of a company shaping ...

product requirements, and to provide early, high‐level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication: Foster strong relationships … focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms ...

them to business goals, risk posture, and engineering standards across cloud and hybrid environments Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops Establish integration patterns (APIs, events, microservices) to embed model powered capabilities into existing platforms with clear service … core banking, CRM, risk, payments) Design audit ready agent interactions, tool usage logs, and decision provenance Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns) Hands on expertise with agentic frameworks (orchestrators) Experience with LLMs, prompt engineering, tool/function calling, memory management API first integration, event driven ...

potential of an AI enabled future. Key Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails) and RAG pipelines (chunking, embeddings, vector search, caching, re ranking … using Python Hands-on Experience with API Development and Microservices architecture and End to End integrations Knowledge of RAG (Retrieval-Augmented Generation) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows Hands-on Experience with API Development and Microservices architecture Experience in CI/CD pipelines ...

full potential of an AI enabled future. Your responsibilities: Build and ship production ready AI/ML featuresfrom data ingestion and feature engineering to model training, evaluation, and deployment. Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails) and RAG pipelines (chunking, embeddings, vector search, caching, re ranking … using Python Hands-on Experience with API Development and Microservices architecture and End to End integrations Knowledge of RAG (Retrieval-Augmented Generation) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows. Hands-on Experience with API Development and Microservices architecture Experience in CI/CD pipelines ...

them to business goals, risk posture, and engineering standards across cloud and hybrid environments. Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops. Establish integration patterns (APIs, events, microservices) to embed model powered capabilities into existing platforms with clear service … banking, CRM, risk, payments). Design audit ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. API first integration ...

them to business goals, risk posture, and engineering standards across cloud and hybrid environments. Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops. Establish integration patterns (APIs, events, microservices) to embed model powered capabilities into existing platforms with clear service … banking, CRM, risk, payments). Design audit ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. API first integration ...

them to business goals, risk posture, and engineering standards across cloud and hybrid environments. Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops. Establish integration patterns (APIs, events, microservices) to embed model-powered capabilities into existing platforms with clear service … banking, CRM, risk, payments). Design audit-ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands-on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. API-first integration ...

banking, CRM, risk, payments). Design audit-ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands-on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. API-first integration … them to business goals, risk posture, and engineering standards across cloud and hybrid environments. Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops. Establish integration patterns (APIs, events, microservices) to embed model-powered capabilities into existing platforms with clear service ...

that is how we grow. We are a distributed team and have been since day 1. We build solutions for distributed workforces so we model our workforce the same way. In this role you really can work where you want within the United States. Responsibilities Drive the strategy, design … processes, and data modeling best practices. Strong knowledge of SQL, Python and TypeScript. Knowledge of AI tools including Langchain, Open AI Agents, and MCP APIs. Excellent communication skills and understanding of the realities of developing in a startup environment (i.e. you know the difference between small problems and big ones ...

Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate … systems Experience shipping AI-powered features into production environments Proficiency in at least two modern programming languages Familiarity with emerging AI tooling (eg MCP, A2A, Threads or similar) Consultancy or client-facing technology delivery experience Desirable: Experience with vector databases, embeddings, or model fine-tuning Cloud platform experience ...

Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate … systems Experience shipping AI-powered features into production environments Proficiency in at least two modern programming languages Familiarity with emerging AI tooling (e.g. MCP, A2A, Threads or similar) Consultancy or client-facing technology delivery experience Desirable: Experience with vector databases, embeddings, or model fine-tuning Cloud platform experience ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Competitive salary (£70,000 - £90,000) Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within a growing ...

experience platforms.* 3+ years leading large, strategic, and complex enterprise deals.* Deep technical fluency with web/scripting technologies (HTML, CSS, JavaScript, JSON, LLMs, MCP) and SaaS architectures.* Proven success in positioning the business value of technical solutions and the strategic role of Professional Services and Partners.* Hands-on experience … Customer Service software, ITSM, Business Intelligence, Data Warehousing, Workforce Management, QA or Integration & Middleware.* Strong understanding of AI and automation technologies (LLMs, NLP, ChatGPT, MCP, predictive analytics) and their impact on customer service transformation.* Demonstrated ability to lead virtual teams to successful outcomes and build consensus across technical and business ...