Build and deploy LLM-powered applications and agentic workflows (single & multi-agent).
Design and implement RAG pipelines , embeddings, and vector search.
Develop end-to-end ML/LLM pipelines from data ingestion to inference and monitoring.
Productionize AI systems with cost controls, observability, and guardrails .
Integrate AI solutions into enterprise workflows and platforms .
Collaborate with product, platform, and governance teams to deliver responsible AI .
Requirements
6+ years of experience in Data Engineering, ML Engineering, or Applied AI .
Hands-on experience deploying LLM-based systems in production .
Strong Python skills and experience with scalable systems.
Experience with agent frameworks ( LangChain , LlamaIndex , AutoGen , CrewAI , or similar).
Solid understanding of RAG, vector databases, embeddings , and prompt optimization.
Familiarity with MLOps , monitoring, and cost/performance trade-offs .
Experience in regulated or enterprise environments .
Exposure to AI governance, explainability, or risk controls .
Background in document intelligence or NLP-heavy systems .
Benefits
Build real AI systems , not demos.High ownership over architecture and implementation .Work on cutting-edge agentic AI with enterprise impact.Competitive compensation and strong growth opportunities.Use of AI in Hiring
Additional Information
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team.
Broadridge · Bengaluru-epip Industrial Area