AI Engineer III

AI Engineer III

Work Model: Hybrid

Key Responsibilities

• Design, develop, and deploy reusable AI platform services and scalable backend APIs.
• Build and maintain backend services that orchestrate enterprise AI capabilities.
• Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers.
• Design, implement, 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 efficiency.
• Mentor junior engineers through code reviews, technical guidance, and best practices.
• Collaborate with architects, developers, and application teams to design and implement scalable AI solutions.
• Ensure all solutions comply with enterprise security, governance, and compliance standards.

Technologies & Platforms

Programming Languages

• C#
• Python
• Node.js (JavaScript/TypeScript)
• RESTful APIs

AI Technologies

• Azure AI Foundry
• Anthropic Claude SDK
• Azure OpenAI
• Model Context Protocol (MCP)
• Agent Workflows
• Retrieval-Augmented Generation (RAG)

Cloud & Containers

• Azure Container Apps
• Azure Functions
• Docker

Databases

• SQL
• PostgreSQL
• Azure SQL

Development Tools

• LangFuse
• Cursor IDE
• Git

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
• 5 years of professional software engineering experience.
• 2 years of experience building production AI services, AI platforms, or reusable AI infrastructure.
• Proven experience developing scalable backend APIs and distributed services.
• Hands-on experience with LLM integrations, Model Context Protocol (MCP), AI workflows, and Retrieval-Augmented Generation (RAG).
• Experience with Docker and cloud-native container platforms.
• Experience designing, building, and deploying cloud-native applications.
• Strong SQL expertise and relational database design skills.
• Demonstrated experience mentoring engineers and delivering complex production-grade software.

Preferred Qualifications

• Hands-on experience with Azure AI Foundry, Anthropic Claude SDK, and/or Azure OpenAI.
• Experience building shared AI platforms, SDKs, or reusable platform APIs.
• Experience with LangFuse, Prisma or Drizzle, Express or Fastify.
• Familiarity with React and Shadcn UI.
• Knowledge of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).