NielsenIQ
Market Research
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Software Engineer at NielsenIQ. Skills: GenAI, LLMs, FastAPI, Python. Build scalable AI systems. Build MCP based Agentic AI chat bot”
Industry & Context.
Intent classification; Agent state management; Performance optimization; Latency optimization; Reliability optimization
What They're Looking For.
Must Have
7+ years of experience, hands-on experience with FastAPI, hands-on experience with Flask, hands-on experience with Django, hands-on experience with Python, hands-on experience with LangChain, hands-on experience with LangGraph, hands-on experience with Agentic AI, hands-on experience with openAI LLM, hands-on experience with Multi Agentic AI systems, hands-on experience with MCP based AI architectures, Solid experience with MongoDB, Experience integrating with LLM APIs, Deep understanding of RESTful API design, Git, Docker, familiarity with CI/CD pipelines
Nice to Have
Familiarity with prompt engineering, Familiarity with embeddings, Familiarity with vector databases, UI/ Angular knowledge, Experience working on GenAI-driven UIs, Knowledge of JWT, Knowledge of OAuth2, Knowledge of API rate limiting strategies, Basic understanding of LLM token usage, Basic understanding of context length constraints, Basic understanding of caching, Experience with PostgreSQL, Experience with hybrid Mongo/Postgres data models, DevOps awareness, Kubernetes awareness, cloud deployment awareness
What You'll Do.
Build scalable AI systems
Build MCP based Agentic AI chat bot
Build scalable REST APIs
Integrate with LLM APIs
Manage structured data
Manage unstructured data
Query structured data
Query unstructured data
Productionize GenAI use cases
Design token-efficient API interactions
Maintain testable code
Own end-to-end features
How You'll Work.
Team & Collaboration
Work closely with AI engineers
Full 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 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 ## Qualifications Must-Have Skills: * 7+ years of experience in full stack development * Strong hands-on experience with FastAPI (or Flask/Django) and Python. * 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 LLM APIs (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 ## Additional Information * Nice to Have: * Familiarity with prompt engineering, embeddings, vector databases (like Pinecone, FAISS, Weaviate) * UI/ Angular knowledge. * Experience working on GenAI-driven UIs (chat interfaces, kn
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