Design, build, and operationalize AI driven solutions for our global Analytics organization.
Build agentic workflows using LangChain/LangGraph and similar frameworks.
Develop autonomous agents for data validation, reporting, document processing, and domain workflows.
Deploy scalable, resilient agent pipelines with monitoring and evaluation.
Develop GenAI applications using models like GPT, Gemini, and LLaMA.
Partner with data scientists to productionize POCs.
Build distributed data pipelines (Python, PySpark).
Optimize systems for performance and scalability across cloud/hybrid environments.
Work with analytics, product, and engineering teams to define and deliver AI solutions.
Support knowledge sharing and internal GenAI capability building.

5-8 years of experience in AI/ML engineering, data science, or software engineering, with at least 4 years focused on GenAI.
Strong programming expertise in Python, distributed computing using PySpark, and API development.
Hands on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs).
Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration.
Solid understanding of GenAI concepts: prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine tuning, context engineering.
Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), and CI/CD pipelines for ML/AI.
Strong problem solving, system design thinking, and ability to translate business needs into scalable AI solutions.
Excellent verbal, written communication and presentation skills.

Senior Gen AI Engineer

Key skills