6 of 6 Permanent MCP Jobs in Berkshire

from Big Tech companies into a user's Digital Self frontier research on AI memory and context engineering providing context to consumer agents via MCP and A2A You will be a perfect fit if: building a great company is your top priority in life you are extremely hard working ...

with Next.js, monorepos, or modular architectures. Familiarity with any part of the company's tech ecosystem. Tech Environment Agent & AI Development Google ADK, Mastra, MCP (Model Context Protocol), Agent-to-Agent systems Frontend TypeScript, React, Redux Next.js Shadcn, Material UI, Tailwind CSS Backend & APIs Python, Node.js Databricks for data ...

interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers ...

Role: Senior Product Engineer Location: London, Hybrid (1–2 days per week) Compensation: £140,000–£220,000 + equity We're working with an early-stage technology company building a new platform at the intersection ...

orchestrating custom agent workflows; developing low/no-code agents for faster adoption; and creating and maintaining knowledge bases connected via connectors and MCP servers. You will also help teams adopt modern development workflows (e.g., spec-driven development instead of "vibe coding") and lead workshops and training sessions to scale … features in a structured way. Agentic protocols, communication, and tactics Familiarity with key agentic patterns and protocols such as A2A (agent-to-agent communication), MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), memory management, and context management. Ability to design effective interaction patterns between agents, tools, and users. Cross-functional ...

services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/… similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/ ...