{"id":2600054,"url":"https://alion.io/job/nomura-sr-software-engineer-5","title":"Sr. Software Engineer","company":{"id":43759,"name":"Nomura","domain":"nomura.com","url":"https://alion.io/company/nomura","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"BERT","optional":false},{"name":"Embeddings","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Neo4j","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Weaviate","optional":false},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Edge AI","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"Prometheus","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-10-09T07:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-15T21:40:21Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Overview:\nNomura 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 www.nomura.com\nNomura 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.\nKey Responsibilities\nDesign and develop scalable applications using Python\nImplement and maintain AI-powered features using Large Language Models (LLMs) and agentic AI systems\nBuild and optimize RAG (Retrieval Augmented Generation) pipelines\nCreate and maintain vector databases for efficient similarity search and document retrieval\nDevelop and optimize embedding systems for text and data processing\nSet up and manage monitoring dashboards using Grafana\nDesign and implement efficient data ingestion and processing pipelines\nCollaborate with cross-functional teams to deliver intelligent software solutions\nParticipate in code reviews and contribute to technical documentation\nOptimize application performance and troubleshoot production issues\nRequired Skills & Experience\n2-3 years of professional software development experience\nStrong proficiency in Python\nAdvanced Python development skills, including experience with:\nLangChain LangGraph or similar LLM frameworks\nHugging Face transformers\nVector databases (Qdrnt, Weaviate, or similar)\nEmbedding models (OpenAI, BERT, or similar)\n Experience implementing RAG architectures or having Knowledge on any of the below\nBasic RAG Implementation:\nDocument chunking and preprocessing\nEmbedding generation and storage\nVector similarity search\nLLM prompt engineering and context injection\nHybrid RAG Architectures:\nKeyword-based + Dense / Sparse Vector Retrieval\nBM25 + Neural Search combinations\nMulti-index retrieval strategies\nHybrid re-ranking approaches\nAdvanced RAG Patterns:\nParent-Child Document Chunking\nRecursive Retrieval\nMulti-Query RAG\nHypothetical Document Embeddings (HyDE)\nQuery Decomposition\nSelf-Query RAG\nRAG Pipeline Components:\nDocument Loaders and Parsers\nText Splitters (Recursive, Semantic, Token-based)\nEmbedding Models Integration\nVector Store Operations\nQuery Routing and Processing\nResponse Generation and Synthesis\nRAG Enhancement Techniques:\nAuto-merging Retrieved Chunks\nSemantic Router Implementation\nContext Window Optimization\nQuery Expansion Strategies\nRe-ranking Mechanisms\nSentence Window Retrieval\nAdvanced Retrieval Methods:\nMulti-Vector Retrieval\nTime-Weighted Retrieval\nContextual Compression\nDynamic Few-Shot Learning\nCross-Encoder Re-ranking\nKnowledge of modern AI/ML concepts and applications\nExperience with graph databases (Neo4j, Amazon Neptune)\nHands-on experience with Grafana for monitoring and visualization\nStrong knowledge of SQL and NoSQL databases\nProficiency with version control systems (Git)\nPreferred Skills\nExperience with:\nAI agents and autonomous systems\nSemantic search implementations\nKnowledge graphs and ontologies\nStream processing for real-time AI applications\nContainerization (Docker, Kubernetes)\nMessage queuing systems (Kafka, RabbitMQ)\nCI/CD pipelines\nPrometheus or other monitoring solutions\nMLOps practices and tools\nWhat We Offer\nCompetitive salary and benefits package\nRemote work flexibility\nProfessional development opportunities\nAccess to cutting-edge AI technologies and resources\nCollaborative and innovative work environment\nHealth insurance\nAnnual performance bonus\nRegular team events and activities\nTraining in emerging AI technologies\n Equal Opportunity Employer:\nNomura 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. 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