Senior Software Engineer, Agentic AI

What you'll do

• Design, develop, and operate resilient, scalable, cloud-native Java microservices and distributed systems on AWS.
• Own business features end-to-end from requirement analysis through production support and operational readiness.
• Build and extend agentic systems using composable skills, MCP integrations, and knowledge retrieval.
• Deliver proactive triage and write-action automation with human-in-the-loop gates for engineering workflows.
• Enforce production standards for agentic systems through evaluation, CI quality gates, and end-to-end observability.
• Lead project delivery by organizing scope, estimating effort, and establishing timelines for large initiatives.
• Provide production support, lead incident response, and participate in a shared on-call rotation.
• Mentor engineers and uphold sound engineering practices across the development and delivery pipelines.

What we're looking for

• Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6+ years of progressive software engineering experience building and operating Java microservices and serverless architectures in production.
• Strong Java and Spring Boot skills with experience in unit, integration, and system testing.
• Hands-on experience building or integrating AI-powered systems including agents, LLM-based applications, RAG, or tool-calling workflows.
• Experience with spec-driven development (SDD) and event-driven streaming using Kinesis, Kafka, or equivalent.
• Experience with containers on AWS (Docker, ECS Fargate), CI/CD (Jenkins, GitHub Actions), and core AWS services.
• Proficiency in Python and FastAPI (preferred).
• Experience building MCP servers, RAG, or multi-agent patterns for AI agents (preferred).