AI Java Lead Engineer _ Vice President _Software Engineering

Lead backend Java development focusing on scalable, high-performance enterprise applications using Spring Boot and microservices architecture.

Own integration and development of agentic AI workflows including orchestrator/subagent patterns and evaluation-driven iterations within backend systems.

Ensure system performance tuning, scalability, observability, and production reliability with messaging integrations and distributed systems design.

At least 6 years of relevant software engineering experience, ideally in Financial Services or Investment Banking domain.

Strong Java and Spring Boot expertise including microservices, REST APIs, and messaging technologies (Kafka, JMS, RabbitMQ).

Hands-on experience with integrating LLM-based AI systems into production backends, including use of agentic AI frameworks (e.g. Claude Agent SDK, LangChain).

Proficiency with AI integration concepts such as multi-agent workflows, orchestrator/subagent patterns, prompt engineering, and performance/scalability considerations.

Experienced Java backend engineer with deep skills in microservices and distributed systems in financial services technology.

Demonstrated practical experience in building or extending AI-assisted software using large language model APIs and agentic AI frameworks, capable of designing complex multi-agent interactions.

Comfortable learning and experimenting with emerging agentic AI patterns and integrating AI workflows into scalable production systems.