Senior AI Engineer - ( MCP & LLM Integration)
# Senior AI Engineer - ( MCP & LLM Integration) **Latent Bridge** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Senior-AI-Engineer]` `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Python-Engineer]` `[LLM-Engineer]` `[Senior-AI-LLM-Engineer]` `[Senior-AI-Software-Engineer]` `[Senior-Software-AI-Engineer]` --- ### About the Role This is a remote position. Senior AI Engineer - ( MCP & LLM Integration) About the Role We are looking for a high-performing Senior AI Engineer (including MCP) to lead the development and delivery of enterprise Model Context Protocol (MCP) integrations in Phase 1, and governed multi-model access, evaluation, and observability in Phase 2. The ideal candidate will combine strong backend software engineering in Python with direct hands-on experience implementing the Model Context Protocol (MCP), LLM APIs (Anthropic Claude, OpenAI), tool-calling, and evaluation frameworks, ensuring robust, production-grade agentic workflows and reliable model interfaces across the engagement. Programme Context & Phased Effort Allocation The engagement is structured as a 22-week sequential programme divided into two delivery phases, assuming a five-day working week: - Phase 1: MCP Gateway and Governance (Weeks 1–10 / 10 Weeks): Full-time allocation (1.0 FTE) developing reference MCP servers, API adapters, central registry onboarding checks, and validating Claude client tool-use workflows. - Phase 2: Model Access through Microsoft Foundry (Weeks 11–22 / 12 Weeks): Full-time allocation (1.0 FTE) integrating Claude, OpenAI, and specialist models, implementing streaming token protocols, usage attribution, and model evaluation harnesses. Key Responsibilities - Reference MCP Servers & Adapters: Develop reference MCP servers and API adapters, including JSON-schema tool definitions, granular permissions, input validation, and graceful error handling. - Registry Integration & Onboarding: Implement MCP registry integration, automated onboarding checks, request/response logging, and telemetry ingestion. - Client Tool Connectivity: Connect the selected Claude client to approved MCP tools and thoroughly validate representative agentic workflows and tool-calling execution. - Multi-Model Provider Integration: Integrate Claude, OpenAI, and agreed specialist model endpoints through the approved Azure APIM gateway and Microsoft Foundry. - Streaming, Attribution & Evaluation: Implement and test provider interfaces, streaming token responses, tool use, usage attribution, prompt caching, and model evaluation suites. - Automated Testing & Documentation: Automate integration tests, resolve defects, and document reusable integration patterns and standard operating procedures (SOPs). Required Skills & Experience - 6–10+ years of software engineering experience with senior proficiency in Python (FastAPI, Pydantic, asyncio) or agreed backend integration languages. - Model Context Protocol (MCP) & Agentic Workflows: Hands-on experience implementing the Model Context Protocol (MCP) specification, JSON-RPC, tool-calling schemas, and client-server integrations. - Enterprise LLM Integration: Extensive experience integrating Anthropic Claude and OpenAI APIs, handling authentication, token rate limits, prompt caching, and streaming protocols. - Model Evaluation & Observability: Experience with automated model evaluation, benchmark datasets, prompt engineering, tracing (LangSmith / OpenTelemetry), and cost/usage attribution. - API Design & Automated Testing: Strong background in RESTful APIs, JSON schema validation, automated testing (pytest), mock services, and CI/CD integration. - Security & Data Governance: Understanding of zero-trust API security, payload sanitization, credential handling, and enterprise data privacy. Preferred Qualifications - Capital Markets / Financial AI Applications: Experience deploying AI applications, document processing, or market research copilots in financial institutions. - Microsoft Foundry & Azure AI: Experience with Microsoft Foundry, Azure OpenAI Service endpoints, and Azure APIM policies. - Agent Frameworks: Familiarity with LangChain, LangGraph, AutoGen, or Semantic Kernel frameworks. - Open Source Contributions: Active contributions to open-source AI tooling, MCP server repositories, or developer SDKs. Key Competencies - Model Context Protocol (MCP) Architecture - Advanced Python Engineering & Asyncio - LLM API Integration (Anthropic Claude & OpenAI) - Agentic Tool-Calling & Schema Validation - Model Evaluation, Benchmarking & Prompt Optimization - Automated Testing & Integration Test Suites - Production Telemetry & Token Usage Attribution - Developer Tooling & Pattern Documentation Requirements Required Skills & Experience - 6–10+ years of software engineering experience with senior proficiency in Python (FastAPI, Pydantic, asyncio) or agreed backend integration languages. - Model Context Protocol (MCP) & Agentic Workflows: Hands-on experience implementing the Model Context Protocol (MCP) specification, JSON-RPC, tool-calling schemas, and client-server integrations. - Enterprise LLM Integration: Extensive experience integrating Anthropic Claude and OpenAI APIs, handling authentication, token rate limits, prompt caching, and streaming protocols. - Model Evaluation & Observability: Experience with automated model evaluation, benchmark datasets, prompt engineering, tracing (LangSmith / OpenTelemetry), and cost/usage attribution. - API Design & Automated Testing: Strong background in RESTful APIs, JSON schema validation, automated testing (pytest), mock services, and CI/CD integration. - Security & Data Governance: Understanding of zero-trust API security, payload sanitization, credential handling, and enterprise data privacy. Benefits Key Competencies - Model Context Protocol (MCP) Architecture - Advanced Python Engineering & Asyncio - LLM API Integration (Anthropic Claude & OpenAI) - Agentic Tool-Calling & Schema Validation - Model Evaluation, Benchmarking & Prompt Optimization - Automated Testing & Integration Test Suites - Production Telemetry & Token Usage Attribution - Developer Tooling & Pattern Documentation Originally posted on Himalayas
- Senior-AI-Engineer
- AI-Engineer
- Machine-Learning-Engineer
- Python-Engineer
- LLM-Engineer
- Senior-AI-LLM-Engineer
- Senior-AI-Software-Engineer
- Senior-Software-AI-Engineer
Наблюдалась 2026-10-14, впервые 2026-10-14, источник — Himalayas (JSON API).