Senior Lead Software Engineer - Agentic AI/Java/Python

What you'll do

• Develop and troubleshoot production software, architecture, and designs for Chase AI components.
• Use data insights and cross-functional collaboration to improve software quality, systems, and delivery.
• Promote validated, secure use of enterprise-authorized AI-assisted development tools and patterns across the team.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience, including 2+ years building complex scalable applications or agentic systems.
• Hands-on experience building agentic systems using LLMs/SLMs and setting up and maintaining MCP servers and MCP-compatible tools/adapters.
• Proficiency in Java and/or Python, plus production services using Spring AI/Spring ecosystem or Python (FastAPI/Flask).
• AWS experience, API design, observability, practical LLM patterns, testing, and demonstrated leadership in responsible use of approved AI-assisted development tools.

Nice to have

• Expertise in distributed LLM orchestration and safe rollout strategies, including human-in-the-loop review and continuous evaluation.
• Knowledge of API gateways, service mesh, multi-region reliability, financial-services compliance, and large-scale performance optimization.

Tools

LLMs/SLMs, MCP, Java, Python, Spring AI, Spring Boot, AWS, Docker

AI focus

Build agentic AI systems and apply approved AI-assisted engineering tools for coding, reviews, testing, and troubleshooting, with validation for correctness, performance, security, and responsible use.