Staff AI Engineer

About the role

This role is ideal for an experienced engineer who thrives in hands-on development, can confidently own features and deployments, and contributes to team leadership within a pod.

Responsibilities

• Build and maintain backend services using Python and Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)
• Develop and integrate APIs that support frontend applications and external systems
• Contribute to frontend features and ensure smooth integration across the stack
• Write clean, maintainable, and well-tested code with strong unit testing practices
• Support the development and maintenance of workflows using orchestration tools (e.g., Sequencer / workflow engines, state machines)
• Contribute to event-driven processes and asynchronous system operations (e.g., SQS,EventBridge)
• Aid in improving reliability through better error handling and retries
• Develop RESTful APIs and support the BE architecture
• Integrate with third-party services and internal systems, including AI-driven platforms
• Assist in optimizing performance and scalability of services using DynamoDB single-table design patterns (composite keys, transactional writes)
• Implement secure and reliable data handling practices
• Troubleshoot issues in production environments with guidance from senior team members
• Contribute to logging, monitoring, and debugging efforts
• Support deployment and release processes in cloud-native environments (AWS, Docker)
• Work closely with cross-functional teams across global locations
• Participate in code reviews and team discussions
• Take ownership of assigned features and tasks, delivering end-to-end solutions
• Continue developing technical skills and leveraging AI-assisted development tools (e.g., Claude Code)

Requirements

• 6+years of professional software engineering
• Strong experience with Python and Node.js
• Experience with LLM function/tool calling, prompt engineering, multi-agent orchestration, vector databases (OpenSearch), embeddings, streaming LLM responses, RAG concepts.
• Experience working with AWS cloud environments, including Lambda, DynamoDB (and Single-Table design), S3, SQS, EventBridge, Step Functions, etc.
• Experience building and maintaining fullstack applications
• Exposure to workflow orchestration tools (e.g., Sequencer or similar systems)
• Solid understanding of API design and backend systems
• Familiarity with databases (SQL and/or NoSQL, including scalable design patterns)
• Experience working in production environments
• Strong unit testing practices and maintainable test strategies
• Experience with containerization (e.g., Docker)