5 of 5 Contract Model Context Protocol Jobs

embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design memory, state management, and context-aware agent behaviors Optimize performance, cost, and latency ...

guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards … production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across ...

behind them. Essential Experience Building and deploying production LLM applications Strong experience with RAG including: Document ingestion Chunking strategies Embeddings Vector search and retrieval Context engineering Prompt orchestration LLM deployment experience, not just experimentation Azure OpenAI, Ollama and/or Vertex AI Python, FastAPI and REST API development LangChain … evaluate and improve model performance How to expose AI capabilities through APIs and enterprise applications Desirable Azure AI Foundry Agentic AI MCP Private LLM deployments Enterprise security and regulated environments Not Suitable If Experience is primarily notebooks, research or experimentation No production LLM deployment experience No RAG implementation experience ...

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 ...

Description: You will lead a small, high-output agentic engineering pod migrating AWS Lambda applications to Azure. Inspired by OpenAIs Harness Engineering model, your primary job is not writing code it is designing the harness: the scaffolding, constraints, and feedback loops that let Claude Code agents do reliable work. … coach: 70% building harness, 30% guiding the pod. Key Responsibilities Own and evolve the claude_code_forge scaffolding repo structure, CLAUDE.md templates, creating agents, MCP tool configs, and custom slash commands Decompose the AWS estate into depth-first migration work-packages with clear acceptance criteria agents can validate Enforce architecture ...