[Hiring] Senior Software Engineer @Nomura Holdings, inc.

Role Description

The Software Engineer - Wholesale Core Services will be responsible for:

• Designing, developing, and managing scalable applications using Java, Spring Boot, and Python.
• Creating distributed systems with advanced microservices patterns.
• Building applications on Kubernetes clusters with comprehensive container orchestration.
• Implementing AI-powered features using Large Language Models (LLMs) and agentic AI workflows.
• Developing autonomous AI agents with multi-step reasoning, tool usage, and decision-making capabilities.
• Creating multi-agent systems with agent orchestration, communication protocols, and collaborative workflows.
• Optimizing RAG (Retrieval Augmented Generation) pipelines integrated with agentic systems.
• Designing and implementing efficient data ingestion and processing pipelines.
• Collaborating with cross-functional teams to deliver intelligent software solutions.
• Participating in code reviews and contributing to technical documentation.
• Optimizing application performance and troubleshooting production issues in distributed environments.

Qualifications

• Core expertise in Python, Java, and Spring Boot with microservices development.
• Strong experience with Micro-service Architecture & Event-driven architecture.
• Proficient in distributed systems design and implementation.
• Strong knowledge of SQL and NoSQL databases.
• Experience with Test-Driven Development (TDD) and various test integration frameworks.
• DevOps/Platform Engineering skills including CI/CD, infrastructure automation, and monitoring.
• Kubernetes proficiency including deployment, scaling, and service mesh technologies.

Requirements

• Advanced Python development skills, including experience with:
• LangChain, LangGraph or similar LLM frameworks.
• Hugging Face transformers.
• Vector databases (Qdrant, Weaviate, or similar).
• Embedding models (OpenAI, BERT, or similar).
• Agent Frameworks: LangGraph, AutoGen, or custom agent implementations.
• Multi-Agent Systems: Agent communication, coordination, task delegation, and collaborative problem-solving.
• Agentic Workflows: Planning agents, execution agents, reflection mechanisms, and self-correction loops.
• Agent Memory Systems: Short-term and long-term memory, conversation history, and context management.
• Tool Integration: API calling, database queries, file operations, and external service interactions.
• Agent Orchestration: Workflow management, state machines, and conditional execution paths.
• Core RAG Components: Document chunking, embedding generation, vector similarity search, and LLM prompt engineering.
• Advanced Patterns: Multi-Query RAG, Hybrid retrieval (BM25 + Neural Search), Parent-Child chunking, and Query decomposition.
• Pipeline Optimization: Text splitters, embedding integration, vector store operations, query routing, and response synthesis.
• Enhancement Techniques: Auto-merging chunks, semantic routing, context optimization, re-ranking mechanisms, and multi-vector retrieval.
• Agentic RAG: Integration of RAG systems with autonomous agents for dynamic information retrieval and processing.
• Hands-on experience with:
• Advanced agentic patterns: ReAct, Chain-of-Thought, Tree of Thoughts, and self-reflection.
• Agent monitoring and observability: Agent performance tracking, decision logging, and failure analysis.
• Semantic search implementations.
• Knowledge graphs and ontologies.
• Stream processing for real-time AI applications.
• Human-in-the-loop systems and agent supervision mechanisms.
• Distributed tracing.
• MLOps practices and tools.
• Infrastructure as Code (Terraform, Helm).
• Working experience with AWS, or equivalent public cloud.

Benefits

• Competitive salary and benefits package.
• Remote work flexibility.
• Professional development opportunities.
• Access to cutting-edge AI technologies and resources.
• Collaborative and innovative work environment.
• Health insurance.
• Annual performance bonus.
• Regular team events and activities.
• Training in emerging AI technologies, agentic systems, and distributed systems patterns.