Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit <a href="http://www.nomura.com">www.nomura.com</a> Nomura Services India, (Powai) supports Nomura’s businesses around the world. Powai’ s world class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support have played a key role in facilitating Nomura’s global operations and are an integral part of Nomura’s global expansion plans. The Powai operation is a critical part of the platform to support the growth of Nomura’s global business. Key Responsibilities <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="disc"> <li class="MsoNormal" style="">Design and develop scalable applications using Python</li> <li class="MsoNormal" style="">Implement and maintain AI-powered features using Large Language Models (LLMs) and agentic AI systems</li> <li class="MsoNormal" style="">Build and optimize RAG (Retrieval Augmented Generation) pipelines</li> <li class="MsoNormal" style="">Create and maintain vector databases for efficient similarity search and document retrieval</li> <li class="MsoNormal" style="">Develop and optimize embedding systems for text and data processing</li> <li class="MsoNormal" style="">Set up and manage monitoring dashboards using Grafana</li> <li class="MsoNormal" style="">Design and implement efficient data ingestion and processing pipelines</li> <li class="MsoNormal" style="">Collaborate with cross-functional teams to deliver intelligent software solutions</li> <li class="MsoNormal" style="">Participate in code reviews and contribute to technical documentation</li> <li class="MsoNormal" style="">Optimize application performance and troubleshoot production issues</li> </ul> Required Skills & Experience <ol style="margin-top:0.0cm;margin-bottom:0.0px" start="1" type="1"> <li class="MsoNormal" style="">2-3 years of professional software development experience</li> <li class="MsoNormal" style="">Strong proficiency in Python</li> <li class="MsoNormal" style="">Advanced Python development skills, including experience with:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="circle"> <li class="MsoNormal" style="">LangChain LangGraph or similar LLM frameworks</li> <li class="MsoNormal" style="">Hugging Face transformers</li> <li class="MsoNormal" style="">Vector databases (Qdrnt, Weaviate, or similar)</li> <li class="MsoNormal" style="">Embedding models (OpenAI, BERT, or similar)</li> </ul> <li class="MsoNormal" style="">Experience implementing RAG architectures or having Knowledge on any of the below</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="circle"> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="square"> <li class="MsoNormal" style="">Basic RAG Implementation:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="square"> <li class="MsoNormal" style="">Document chunking and preprocessing</li> <li class="MsoNormal" style="">Embedding generation and storage</li> <li class="MsoNormal" style="">Vector similarity search</li> <li class="MsoNormal" style="">LLM prompt engineering and context injection</li> </ul> <li class="MsoNormal" style="">Hybrid RAG Architectures:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="square"> <li class="MsoNormal" style="">Keyword-based + Dense / Sparse Vector Retrieval</li> <li class="MsoNormal" style="">BM25 + Neural Search combinations</li> <li class="MsoNormal" style="">Multi-index retrieval strategies</li> <li class="MsoNormal" style="">Hybrid re-ranking approaches</li> </ul> <li class="MsoNormal" style="">Advanced RAG Patterns:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="square"> <li class="MsoNormal" style="">Parent-Child Document Chunking</li> <li class="MsoNormal" style="">Recursive Retrieval</li> <li class="MsoNormal" style="">Multi-Query RAG</li> <li class="MsoNormal" style="">Hypothetical Document Embeddings (HyDE)</li> <li class="MsoNormal" style="">Query Decomposition</li> <li class="MsoNormal" style="">Self-Query RAG</li> </ul> <li class="MsoNormal" style="">RAG Pipeline Components:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="square"> <li class="MsoNormal" style="">Document Loaders and Parsers</li> <li class="MsoNormal" style="">Text Splitters (Recursive, Semantic, Token-based)</li> <li class="MsoNormal" style="">Embedding Models Integration</li> <li class="MsoNormal" style="">Vector Store Operations</li> <li class="MsoNormal" style="">Query Routing and Processing</li> <li class="MsoNormal" style="">Response Generation and Synthesis</li> </ul> <li class="MsoNormal" style="">RAG Enhancement Techniques:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="square"> <li class="MsoNormal" style="">Auto-merging Retrieved Chunks</li> <li class="MsoNormal" style="">Semantic Router Implementation</li> <li class="MsoNormal" style="">Context Window Optimization</li> <li class="MsoNormal" style="">Query Expansion Strategies</li> <li class="MsoNormal" style="">Re-ranking Mechanisms</li> <li class="MsoNormal" style="">Sentence Window Retrieval</li> </ul> <li class="MsoNormal" style="">Advanced Retrieval Methods:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="square"> <li class="MsoNormal" style="">Multi-Vector Retrieval</li> <li class="MsoNormal" style="">Time-Weighted Retrieval</li> <li class="MsoNormal" style="">Contextual Compression</li> <li class="MsoNormal" style="">Dynamic Few-Shot Learning</li> <li class="MsoNormal" style="">Cross-Encoder Re-ranking</li> </ul> </ul> </ul> </ol> <ol style="margin-top:0.0cm;margin-bottom:0.0px" start="5" type="1"> <li class="MsoNormal" style="">Knowledge of modern AI/ML concepts and applications</li> <li class="MsoNormal" style="">Experience with graph databases (Neo4j, Amazon Neptune)</li> <li class="MsoNormal" style="">Hands-on experience with Grafana for monitoring and visualization</li> <li class="MsoNormal" style="">Strong knowledge of SQL and NoSQL databases</li> <li class="MsoNormal" style="">Proficiency with version control systems (Git)</li> </ol> Preferred Skills <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="disc"> <li class="MsoNormal" style="">Experience with:</li> <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="circle"> <li class="MsoNormal" style="">AI agents and autonomous systems</li> <li class="MsoNormal" style="">Semantic search implementations</li> <li class="MsoNormal" style="">Knowledge graphs and ontologies</li> <li class="MsoNormal" style="">Stream processing for real-time AI applications</li> </ul> <li class="MsoNormal" style="">Containerization (Docker, Kubernetes)</li> <li class="MsoNormal" style="">Message queuing systems (Kafka, RabbitMQ)</li> <li class="MsoNormal" style="">CI/CD pipelines</li> <li class="MsoNormal" style="">Prometheus or other monitoring solutions</li> <li class="MsoNormal" style="">MLOps practices and tools</li> </ul> What We Offer <ul style="margin-top:0.0cm;margin-bottom:0.0px" type="disc"> <li class="MsoNormal" style="">Competitive salary and benefits package</li> <li class="MsoNormal" style="">Remote work flexibility</li> <li class="MsoNormal" style="">Professional development opportunities</li> <li class="MsoNormal" style="">Access to cutting-edge AI technologies and resources</li> <li class="MsoNormal" style="">Collaborative and innovative work environment</li> <li class="MsoNormal" style="">Health insurance</li> <li class="MsoNormal" style="">Annual performance bonus</li> <li class="MsoNormal" style="">Regular team events and activities</li> <li class="MsoNormal" style="">Training in emerging AI technologies</li> </ul> Equal Opportunity Employer: Nomura is an equal opportunities employer. We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees (including promotion, transfers, assignments and beliefs). We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, career’s responsibilities, sexual orientation, gender identity, race, color, national or ethnic origins, religious belief, disability or age. Our objective is to attract job applications and applications for development from the best possible candidates and to retain the best people.

Sr. Software Engineer (Mumbai, IN) @ Nomura Holdings, inc.

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