AI Engineer 3
Role details
Job location
Tech stack
Job description
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., 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
Requirements
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., 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