Senior Engineer with Python, GenAI & Database systems
NielsenIQ
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Benefits offered by this job
Job summary
NielsenIQ is hiring a Senior Software Engineer in Pune to help shape the next generation of GenAI-powered applications. You will design and implement APIs with FastAPI, build frontends with Angular, and work with MongoDB as the primary data store to power real user experiences.
You'll collaborate with AI engineers to productionize GenAI use cases, optimize API performance, and own end-to-end features from UX to backend logic. Experience with LLM APIs is highly valued.
Qualifications
- 5+ years of experience in full stack development.
- Strong hands-on experience with FastAPI (or Flask/Django) and Python 3.x.
- Strong hands-on experience with LangChain, LangGraph, Agentic AI and OpenAI LLMs.
- Strong hands-on experience with MCP based AI architectures.
- Solid experience with MongoDB (including schema design and aggregation pipelines).
- Experience integrating with LLM APIs (OpenAI, Anthropic, Cohere, Azure OpenAI, etc.).
- Deep understanding of RESTful API design and best practices.
- Git, Docker, and familiarity with CI/CD pipelines.
Responsibilities
- Build scalable and production-grade AI systems involving big data queries.
- Build MCP based Agentic AI chatbot dealing with intent classification and agent state management.
- Build scalable REST APIs in FastAPI to integrate with LLM APIs (OpenAI, Claude, Azure OpenAI, etc.).
- Manage and query structured/unstructured data in MongoDB.
- Work closely with AI engineers to productionize GenAI use cases (chatbots, summarization, classification, embedding search).
- Design token-efficient API interactions and manage rate limits with LLM providers.
- Optimize performance, latency, and reliability of AI-enhanced APIs.
- Maintain clean, secure, and testable code across backend and frontend.
- Own end-to-end features: from UX to backend logic to API integration.
Skills
Tools
Job description
We're building the next generation of intelligent applications powered by LLMs and 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.
- Build scalable and production grade AI systems involving big data queries
- Build MCP based Agentic AI chat bot dealing with intent classification, agent state management, etc
- Build scalable REST APIs in FastAPIto integrate with LLMAPIs(OpenAI, Claude, Azure OpenAI, etc.)
- Manage and query structured/unstructured data in MongoDB
- Work closely with AI engineers to productionize GenAIusecases(chatbots, summarization, classification, embedding search)
- Design token-efficient API interactions and manage rate limits with LLM providers
- Optimize performance, latency, and reliability of AI-enhanced APIs
- Maintain clean, secure, and testable code across backend and frontend
- Own end-to-end features: from UX to backend logic to API integration
We're building the next generation of intelligent applications powered by LLMs and 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.
- Build scalable and production grade AI systems involving big data queries
- Build MCP based Agentic AI chat bot dealing with intent classification, agent state management, etc
- Build scalable REST APIs in FastAPIto integrate with LLMAPIs(OpenAI, Claude, Azure OpenAI, etc.)
- Manage and query structured/unstructured data in MongoDB
- Work closely with AI engineers to productionize GenAIusecases(chatbots, summarization, classification, embedding search)
- Design token-efficient API interactions and manage rate limits with LLM providers
- Optimize performance, latency, and reliability of AI-enhanced APIs
- Maintain clean, secure, and testable code across backend and frontend
- Own end-to-end features: from UX to backend logic to API integration
- 5+ years of experience in fullstackdevelopment
- Strong hands‑on experience with FastAPI(or Flask/Django) and Python3.x
- Strong hands‑on experience with LangChain, LangGraph, Agentic AI and openAI LLM
- Strong hands‑on experience with Multi Agentic AI systems
- Strong hands‑on experience with MCP based AI architectures
- Solid experience with MongoDB(including schema design and aggregation pipelines)
- Experience integrating with LLMAPIs(e.g. OpenAI, Anthropic, Cohere, Mistral, Azure OpenAI, etc.)
- Deep understanding of RESTful API design and best practices
- Git, Docker, and familiarity with CI/CD pipelines
- Familiarity with promptengineering, embeddings, vector databases (like Pinecone, FAISS, Weaviate)
- UI/ Angular knowledge
- Experience working on GenAI-drivenUIs(chat interfaces, knowledge panels, QCA)
- Knowledge of JWT, OAuth2, API rate limiting strategies
- Basic understanding of LLMtokenusage, context length constraints, and caching
- Experience with PostgreSQLor hybrid Mongo/Postgres data models
- DevOps awareness: Kubernetes, cloud deployment (AWS/Azure/GCP)
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ 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/.
NIQ 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.
For more information, visit NIQ.com
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At 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
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