AI Machine Learning Engineer

We are seeking a Senior AI / Machine Learning Engineer to join the team. This position emphasizes backend engineering, cloud infrastructure, and AI/LLM integration, with less focus on model training and more on designing, building, and scaling applications around AI capabilities. Key Responsibilities • Design and build AI-driven backend services and applications using Python • Develop and deploy LLM-powered agents to support retirement services use cases • Integrate large language models via Azure OpenAI / Azure AI Gateway • Build stateful AI agents, including custom tools and workflows using MCP (Model Context Protocol) • Design and implement RESTful APIs using FastAPI, including async patterns • Build scalable, containerized services optimized for serverless environments • Implement RAG architectures using vector databases such as Pinecone or Qdrant • Collaborate closely with data engineering, platform, and security teams • Ensure production-ready solutions with proper authentication, retries, and fault tolerance • Use Infrastructure as Code to provision and manage cloud resources Required Qualifications Core Engineering • 6+ years of Python backend engineering experience • Strong experience with AsyncIO (async/await), Pydantic, and FastAPI • 4+ years of Docker containerization, including multi-stage builds and optimization • 5+ years designing API client architectures, including robust adapters for internal/corporate gateways Cloud & Infrastructure (AWS) • 4+ years working with AWS compute and networking services (ECS Fargate, ECR, API Gateway, Route 53) • 4+ years with AWS security services (IAM, Secrets Manager, VPC configuration) • 3+ years using Infrastructure as Code (Terraform or AWS CDK) Generative AI & Agent Development • 2+ years integrating LLMs (Azure OpenAI / Azure AI Gateway preferred; 1 year acceptable for urgent needs) • 2+ years working with agent frameworks such as LangChain, LlamaIndex, or Strands SDK • Hands-on experience building stateful agents, custom tools, and workflows • Experience with Model Context Protocol (MCP) • 1+ year experience with vector databases and Retrieval Augmented Generation (RAG) Nice to Have • Experience building AI applications in regulated or enterprise environments • Familiarity with retirement services or financial services domains • Strong understanding of production-grade AI system design