Job Description

Key Responsibilities:
Architect & Build Scalable Systems: Design, develop, and maintain robust data pipelines and microservices using Python.
Intelligent Document Processing: Develop document parsing and extraction pipelines (for PDFs, HTML, structured/unstructured data) that can reliably handle millions of documents.
AI/ML Integration: Implement and leverage technologies like LLMs (Large Language Models), Langgraph, AgenticAI and Prompt Engineering to create advanced, AI-driven solutions.
Data Strategy: Leverage NoSQL (specifically DynamoDB) and other database technologies to optimize data storage and retrieval for high-scale applications.
Stream Processing: Implement and manage real-time data streaming solutions using Kafka to support event-driven and responsive architectures.
Cloud Infrastructure:



Architect and deploy services within AWS, ensuring best practices in security, scalability, and cost-optimization.
Code Excellence & Collaboration: Write clean, maintainable, and highly productive code, lead rigorous code reviews, and actively collaborate with the team on system design and technical decision-making.
System Optimization: Troubleshoot complex distributed systems issues and optimize performance across the entire tech stack.
Mentorship: Act as a technical pillar for the team, mentoring junior engineers and fostering a culture of rapid experimentation and "failing rapid" (and learning faster).

📌 Senior Member Technical Staff Bengaluru (India)
🏢 The Nielsen
📍 India