2 months ago
Mumbai, IndiaStaff+
Responsibilities
- Design, develop, and manage scalable applications using Java, Spring Boot, and Python.
- Build distributed systems, microservices, event-driven applications, and Kubernetes-based services.
- Develop LLM-powered features, autonomous AI agents, multi-agent systems, and agentic workflows.
- Implement RAG pipelines, vector database integrations, embedding systems, tool integrations, and agent orchestration.
- Apply unit, integration, and contract testing and participate in code reviews and technical documentation.
- Apply DevOps and platform engineering practices including infrastructure automation, automated deployments, monitoring, and service operations.
- Design efficient data ingestion and processing pipelines.
- Collaborate with cross-functional teams to deliver intelligent software solutions.
- Optimize application performance and troubleshoot production issues in distributed environments.
Requirements
- Expertise in Python, Java, and Spring Boot with microservices development.
- Strong experience with microservice architecture, event-driven architecture, advanced microservices patterns, and distributed systems design.
- Strong knowledge of SQL and NoSQL databases.
- Strong knowledge of test-driven development and test integration frameworks.
- Experience with DevOps or platform engineering, CI/CD, infrastructure automation, monitoring, and Kubernetes deployment, scaling, and service mesh technologies.
- Advanced Python and AI/ML application experience with frameworks such as LangChain, LangGraph, AutoGen, or similar tools.
- Experience with vector databases such as Qdrant or Weaviate and embedding models such as OpenAI or BERT.
- Experience building agent communication, coordination, task delegation, memory systems, tool integrations, workflow orchestration, RAG systems, and LLM prompt engineering.
- Additional advantageous experience includes ReAct, Chain-of-Thought, Tree of Thoughts, agent observability, semantic search, knowledge graphs, ontologies, real-time stream processing, human-in-the-loop systems, distributed tracing, MLOps, Terraform, Helm, and AWS or an equivalent public cloud.
Benefits
- Competitive salary and benefits package.
- Remote work flexibility.
- Professional development opportunities and training in emerging AI technologies, agentic systems, and distributed systems patterns.
- Access to cutting-edge AI technologies and resources.
- Collaborative and innovative work environment.
- Health insurance.
- Annual performance bonus.
- Regular team events and activities.
Categories
About Nomura
Nomura is a Tokyo‑headquartered, publicly traded financial services group providing wealth and investment management, wholesale (global markets and investment banking), and banking to individuals, institutions, corporates, and governments. Founded in 1925, it operates in about 30 countries and is listed on the Tokyo Stock Exchange and the NYSE. Subsidiaries such as Instinet offer agency brokerage and electronic trading, serving clients in over 60 markets.