{"id":2536908,"url":"https://alion.io/job/latentbridge-senior-ai-engineer-mcp-llm-integration","title":"Senior AI Engineer - ( MCP & LLM 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Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-14T12:27:15Z","employer_posted_date":null,"last_verified_at":"2026-10-14T12:27:15Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"This is a remote position.Senior AI Engineer - ( MCP & LLM Integration)\nAbout the RoleWe 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.\n\nThe 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.\n\nProgramme Context & Phased Effort Allocation\nThe engagement is structured as a 22-week sequential programmedivided into two delivery phases, assuming a five-day working week:\n\nPhase 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.\n\nPhase 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.\n\nKey Responsibilities\n\nReference MCP Servers & Adapters:Develop reference MCP servers and API adapters, including JSON-schema tool definitions, granular permissions, input validation, and graceful error handling.\n\nRegistry Integration & Onboarding:Implement MCP registry integration, automated onboarding checks, request/response logging, and telemetry ingestion.\n\nClient Tool Connectivity:Connect the selected Claude client to approved MCP tools and thoroughly validate representative agentic workflows and tool-calling execution.\n\nMulti-Model Provider Integration:Integrate Claude, OpenAI, and agreed specialist model endpoints through the approved Azure APIM gateway and Microsoft Foundry.\n\nStreaming, Attribution & Evaluation:Implement and test provider interfaces, streaming token responses, tool use, usage attribution, prompt caching, and model evaluation suites.\n\nAutomated Testing & Documentation:Automate integration tests, resolve defects, and document reusable integration patterns and standard operating procedures (SOPs).\n\nRequired Skills & Experience\n\n6–10+ years of software engineering experiencewith senior proficiency in Python (FastAPI, Pydantic, asyncio) or agreed backend integration languages.\n\nModel Context Protocol (MCP) & Agentic Workflows:Hands-on experience implementing the Model Context Protocol (MCP) specification, JSON-RPC, tool-calling schemas, and client-server integrations.\n\nEnterprise LLM Integration:Extensive experience integrating Anthropic Claude and OpenAI APIs, handling authentication, token rate limits, prompt caching, and streaming protocols.\n\nModel Evaluation & Observability:Experience with automated model evaluation, benchmark datasets, prompt engineering, tracing (LangSmith / OpenTelemetry), and cost/usage attribution.\n\nAPI Design & Automated Testing:Strong background in RESTful APIs, JSON schema validation, automated testing (pytest), mock services, and CI/CD integration.\n\nSecurity & Data Governance:Understanding of zero-trust API security, payload sanitization, credential handling, and enterprise data privacy.\n\nPreferred Qualifications\n\nCapital Markets / Financial AI Applications:Experience deploying AI applications, document processing, or market research copilots in financial institutions.\n\nMicrosoft Foundry & Azure AI:Experience with Microsoft Foundry, Azure OpenAI Service endpoints, and Azure APIM policies.\n\nAgent Frameworks:Familiarity with LangChain, LangGraph, AutoGen, or Semantic Kernel frameworks.\n\nOpen Source Contributions:Active contributions to open-source AI tooling, MCP server repositories, or developer SDKs.\n\nKey Competencies\n\nModel Context Protocol (MCP) Architecture\n\nAdvanced Python Engineering & Asyncio\n\nLLM API Integration (Anthropic Claude & OpenAI)\n\nAgentic Tool-Calling & Schema Validation\n\nModel Evaluation, Benchmarking & Prompt Optimization\n\nAutomated Testing & Integration Test Suites\n\nProduction Telemetry & Token Usage Attribution\n\nDeveloper Tooling & Pattern Documentation\n\nRequirements\nRequired Skills & Experience\n\n6–10+ years of software engineering experiencewith senior proficiency in Python (FastAPI, Pydantic, asyncio) or agreed backend integration languages.\n\nModel Context Protocol (MCP) & Agentic Workflows:Hands-on experience implementing the Model Context Protocol (MCP) specification, JSON-RPC, tool-calling schemas, and client-server integrations.\n\nEnterprise LLM Integration:Extensive experience integrating Anthropic Claude and OpenAI APIs, handling authentication, token rate limits, prompt caching, and streaming protocols.\n\nModel Evaluation & Observability:Experience with automated model evaluation, benchmark datasets, prompt engineering, tracing (LangSmith / OpenTelemetry), and cost/usage attribution.\n\nAPI Design & Automated Testing:Strong background in RESTful APIs, JSON schema validation, automated testing (pytest), mock services, and CI/CD integration.\n\nSecurity & Data Governance:Understanding of zero-trust API security, payload sanitization, credential handling, and enterprise data privacy.\n\nBenefits\nKey Competencies\n\nModel Context Protocol (MCP) Architecture\n\nAdvanced Python Engineering & Asyncio\n\nLLM API Integration (Anthropic Claude & OpenAI)\n\nAgentic Tool-Calling & Schema Validation\n\nModel Evaluation, Benchmarking & Prompt Optimization\n\nAutomated Testing & Integration Test Suites\n\nProduction Telemetry & Token Usage Attribution\n\nDeveloper Tooling & Pattern Documentation\n\nOriginally posted on Himalayas","description_format":"text","description_chars":5778,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-14T14:29:00Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled 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