Sr. AI Engineer

AI Engineer 3

Seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers intelligent applications across the organization. This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and platform APIs that application development teams integrate into their solutions.

The ideal candidate has experience building cloud-native backend services and production AI systems using technologies such as Model Context Protocol (MCP), agent-based workflows, Retrieval-Augmented Generation (RAG), and enterprise LLM platforms. This engineer independently delivers complex platform capabilities, mentors junior engineers, and collaborates with architects, product managers, and application development teams.

Key Responsibilities

• Design, develop, and deploy reusable AI platform services and backend APIs.
• Build scalable backend services that orchestrate enterprise AI capabilities.
• Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers.
• Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows.
• Integrate AI platform services with enterprise data platforms and cloud infrastructure.
• Implement observability, monitoring, logging, and troubleshooting for AI services.
• Optimize platform performance, scalability, reliability, and cost.
• Mentor junior engineers through code reviews and technical guidance.
• Collaborate with architects and application teams on solution implementation.
• Ensure solutions meet security, compliance, and governance standards.

Technologies & Platforms

• Languages: C#, Python, Node.js (JavaScript/TypeScript), RESTful APIs
• AI: Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, MCP, agent workflows, RAG
• Cloud: Azure Container Apps, Azure Functions, Docker
• Data: SQL, PostgreSQL, Azure SQL
• Tooling: LangFuse, Cursor IDE, Git

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software engineering experience
• 2+ years building production AI services, AI platforms, or reusable AI infrastructure
• Experience building scalable backend APIs and distributed services
• Experience with LLM integrations, MCP, AI workflows, and RAG
• Experience with Docker and cloud-native container platforms
• Experience building and deploying cloud-native applications
• Strong SQL and relational database design skills
• Experience mentoring engineers and delivering complex production software

Preferred Qualifications

• Experience with Azure AI Foundry, Anthropic Claude SDK, or Azure OpenAI
• Experience building shared AI platforms, SDKs, or platform APIs
• Experience with LangFuse, Prisma or Drizzle, Express or Fastify
• Familiarity with React and Shadcn UI
• Knowledge of DevOps, CI/CD, and Infrastructure as Code