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Tier-1 finance brand, mid-level backend title in metro attracts many qualified applicants despite AI specialization.
Requires backend and LLM production experience with preferred financial domain, reducing cross-industry transferability.
Explicit 6+ years plus deep Java, Spring Boot, LLM production experience creates high shortlisting strictness.
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Lead design and development of scalable, high-performance Java backend systems utilizing Spring Boot and microservices architecture.
Integrate and build AI/agentic workflows with LLMs (OpenAI, Anthropic, etc.) using frameworks like Claude Agent SDK, managing agent orchestrator/subagent patterns and eval workflows.
Ensure system performance, concurrency, distributed design, and production observability with CI/CD and DevOps processes for Institutional Securities Technology products.
6+ years of hands-on Java development experience with strong Spring Boot, microservices, REST APIs, and messaging integrations (Kafka, JMS, RabbitMQ).
Experience with AI-assisted/agentic software development, including production integration of LLMs and familiarity with agentic AI frameworks (LangChain, Claude Agent SDK, etc.).
Strong SQL skills, concurrency, distributed systems design, and knowledge of CI/CD, DevOps, and production observability.
Work Experience Required: 6+ years Java development; Financial Services or Investment Banking domain experience preferred but not mandatory. Notice period: Not explicitly mentioned in the JD.
Experienced backend engineer with deep expertise in Java and AI/agentic system development integrating LLMs into production systems.
Comfortable designing multi-agent workflows and understanding advanced AI concepts such as orchestrator/subagent patterns and eval-driven iteration.
Background or strong interest in financial technology services, with proven ability to improve performance, scalability, and reliability in enterprise-grade distributed systems.