{"id":1189131,"url":"https://alion.io/job/nielseniq-senior-engineer-with-python-genai-database-systems-2","title":"Senior Engineer with Python, GenAI & Database systems","company":{"id":9378,"name":"NielsenIQ","domain":"nielseniq.com","url":"https://alion.io/company/nielseniq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":19,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":123},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Cohere SDK","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"AWS","optional":true},{"name":"FAISS","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"TypeScript","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-24T12:39:51Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-29T02:54:23Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Senior Software Engineer, Pune\nWe're building the next generation of intelligent applications powered by LLMsand GenAI. Join our AI product team as a GenAI Engineer where you’ll architect and implement APIs using FastAPI, create engaging frontends with Angular, and work with MongoDB as the primary data store. Your code will directly power AI experiences for real users.\nResponsibilities:\nBuild scalable and production grade AI systems involving big data queries.\nBuild MCP based Agentic AI chat bot dealing with intent classification, agent state management, etc.\nBuild scalable REST APIs in FastAPI to integrate with LLMAPIs (OpenAI, Claude, Azure OpenAI, etc.)\nManage and query structured/unstructured data in MongoDB\nWork closely with AI engineers to productionize GenAIusecases (chatbots, summarization, classification, embedding search)\nDesign token-efficient API interactions and manage rate limits with LLM providers\nOptimize performance, latency, and reliability of AI-enhanced APIs\nMaintain clean, secure, and testable code across backend and frontend\nOwn end-to-end features: from UX to backend logic to API integration\n 5+ years of experience in fullstackdevelopment\nStrong hands-on experience with FastAPI (or Flask/Django) and Python3.x\nStrong hands-on experience with LangChain, LangGraph, Agentic AI and openAI LLM.\nStrong hands-on experience with Multi Agentic AI systems.\nStrong hands-on experience with MCP based AI architectures.\nSolid experience with MongoDB (including schema design and aggregation pipelines)\nExperience integrating with LLMAPIs (e.g. OpenAI, Anthropic, Cohere, Mistral, Azure OpenAI, etc.)\nDeep understanding of RESTful API design and best practices\nGit, Docker, and familiarity with CI/CD pipelines\nNice to Have:\nFamiliarity with prompt engineering, embeddings, vector databases (like Pinecone, FAISS, Weaviate)\nUI/ Angular knowledge.\nExperience working on GenAI-drivenUIs (chat interfaces, knowledge panels, QCA)\nKnowledge of JWT, OAuth2, API rate limiting strategies\nBasic understanding of LLMtokenusage, context length constraints, and caching\nExperience with PostgreSQL or hybrid Mongo/Postgres data models\nDevOps awareness: Kubernetes, cloud deployment (AWS/Azure/GCP)\n Our Benefits\nFlexible working environment\nVolunteer time off\nLinkedIn Learning\nEmployee-Assistance-Program (EAP)\nNIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/\nAbout NIQ\nNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.\nFor more information, visit NIQ.com\nWant to keep up with our latest updates?\nFollow us on: LinkedIn | Instagram | Twitter | Facebook\nOur commitment to Diversity, Equity, and Inclusion\nAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion","description_format":"text","description_chars":4862,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Government"],"lifecycle":[{"event":"open","at":"2026-09-24T15:25:25Z"}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.615,"p_room":1,"age_days":3,"expected_fill_days":14,"reasons":["conf:9","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nielseniq-senior-engineer-with-python-genai-database-systems-2","json_url":"https://alion.io/job/nielseniq-senior-engineer-with-python-genai-database-systems-2.json","meta":{"generated_at":"2026-09-29T04:50:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4647,"day_limit":5000,"remaining_today":353,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}