Sr. AI Engineer

Duties & Responsibilities

• Design, implement, and maintain scalable AI agent architectures
• Own and optimize RAG pipelines, including indexing and retrieval strategies
• Arcitect and enhance Lambda-based data processing and indexing workflows
• Design and improve React application architecture and state management
• Ensure seamless integration between frontend interfaces and backend AI systems
• Optimize user experience for AI-driven applications (latency, streaming, feedback loops)
• Improve CI/CD pipelines and deployment processes across environments
• Develop and execute AI agent testing strategies, including functionality tests, performance evaluation, and contributing to red-teaming exercises
• Use DsPy or equivalent tools and methods to evaluate and improve AI agent performance
• Analyze system performance using DataDog and Databricks; implement improvements
• Mentor junior engineers and conduct code reviews across full-stack components
• Contribute to technical standards, development best practices, and agent evaluation guidelines

Qualifications

• 5–7 years of experience
• Proven experience building full-stack AI systems
• Strong proficiency in TypeScript and Python
• Strong experience with React architecture and modern frontend patterns
• Deep understanding of LLM systems, RAG, and agent orchestration frameworks (e.g. LangGraph)
• Experience designing distributed and containerized systems
• Strong experience with AWS and Azure architecture, including multi-service integration
• Experience with DynamoDB and scalable storage patterns
• Strong experience with Databricks for analytics, monitoring, and optimization
• Familiarity with AI agent testing frameworks (such as DsPy or equivalent tools) and experience with red-teaming methodologies
• Advanced debugging, troubleshooting, and performance optimization skills
• Ability to define best practices for full-stack development and frontend-backend integration