4 of 4 Microsoft Certified Professional Jobs in Berkshire

experience taking code from dev → production in cloud environments Interest or experience in agentic systems (chat interfaces, workflows, tool use, LLM-driven agents, MCP-style protocols) A product mindset — you care about user impact, not just building features Curiosity, adaptability, and willingness to grow in a rapidly evolving AI role ...

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 ...

real business data. You will work directly with the founder to build GenFinance's technical capability from the ground up: mastering Model Context Protocol (MCP), testing every serious AI tool on the market, and creating the playbooks that let us deploy AI for clients rapidly and reliably. Everything you build … what you will actually do: Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok) Master Model Context Protocol (MCP), API, and build our library of data integrations Test, evaluate, and grade AI tools for finance Participate in research, both field and desk, to help ...

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/ ...