Overview
Lead backend engineering for scalable, high-performance enterprise applications in the Institutional Securities Technology team, using Java and Spring Boot while adopting agentic AI workflows.
What you'll do
- Develop Java applications hands-on.
- Build and maintain Spring Boot microservices and REST APIs.
- Integrate messaging systems including Kafka, JMS, and RabbitMQ.
- Design for SQL, concurrency, and distributed systems.
- Work with CI/CD, DevOps, and production observability.
- Improve performance tuning and scalability.
- Apply strong problem-solving ability and learn new technologies quickly.
What you'll need
- Genuine interest in AI-assisted or agentic software development, with basic hands-on exposure through personal projects, POCs, or production to LLM-integrated systems.
- Experience calling OpenAI, Azure OpenAI, or Anthropic APIs, or using tools such as GitHub Copilot or Claude Code in a substantial way.
- Ability to reason about orchestrator/subagent patterns, tool/function calling, eval-driven iteration (“hill climbing”), and basic prompt engineering.
- Python exposure for AI integration, scripting, or data pipeline use cases.
- Hands-on experience integrating LLMs into production backend systems using OpenAI, Azure OpenAI, Anthropic, or equivalent.
- Working knowledge of agentic AI frameworks including LangChain, LangGraph, Spring AI, AutoGen, CrewAI, or Claude Agent SDK, including agent memory, tool calling, and multi-step reasoning loops.
- Ability to design multi-agent workflows, including orchestrator/subagent patterns, agent-to-agent communication, and guardrails for autonomous systems.
- Awareness of AI system reliability concerns including hallucination mitigation, tracing agent runs, latency, and cost management.
- Curiosity and self-driven experimentation with emerging agentic patterns including ReAct, Chain-of-Thought, reflection loops, and human-in-the-loop gates.
- Knowledge of RAG architecture and vector database concepts.
- At least 6 years' relevant experience.
Nice to have
- Financial Services or Investment Banking domain experience.
Details
- Location: Mumbai, Maharashtra, India.
- Vice President level.
Read the full description and apply on the company’s own careers page.