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Senior Software Engineer 7+ years (Must have- Python, FastAPI (or Flask/Django), Langchain, Mongodb, RestAPI)

External
Nielseniq logoNielseniq · Pune, India
Full-timeOn-site3w ago
AngularAPI DesignAWSAzureCachingCI/CD
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Requirements

  • Familiarity with prompt engineering, embeddings, vector databases (like Pinecone, FAISS, Weaviate)
  • UI/ Angular knowledge.
  • Experience working on GenAI-driven UIs (chat interfaces, knowledge panels, QCA)
  • Knowledge of JWT, OAuth2, API rate limiting strategies
  • Basic understanding of LLM token usage, context length constraints, and caching
  • Experience with PostgreSQL or hybrid Mongo/Postgres data models
  • DevOps awareness: Kubernetes, cloud deployment (AWS/Azure/GCP)

Benefits

Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQFor more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionFlexible scheduleEquity / stock options

Additional Information

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 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

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