The Senior AI Engineer is responsible for designing and delivering scalable full-stack AI systems, with ownership of both backend agent architecture and frontend application performance. This role focuses on system design, performance optimization, establishing best practices across agent development and data workflows, and testing, ensuring AI capabilities are delivered through intuitive and reliable user experiences. The Senior AI Engineer also mentors junior team members and plays a key role in improving system reliability, scalability, maintainability, and the robustness of AI agents.
Duties & Responsibilities
Design, implement, and maintain scalable AI agent architectures
Own and optimize RAG pipelines, including indexing and retrieval strategies
Architect 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
Competencies
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
Work Environment & Physical Requirements Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity required to perform work at computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping and feeling.
Disclaimer The job description outlines the general nature and scope of work employees perform in this role. It's not intended to be an exhaustive list of all duties, responsibilities, or qualifications required for the position. The company reserves the right to modify, revise, or update the job description to meet business needs.