Senior GenAI Engineer

We are seeking an experienced Senior GenAI Engineer with LangGraph / LangChain, MLflow to design, build, and deploy enterprise-scale Generative AI solutions leveraging LLMs, RAG architectures, and modern data platforms. The ideal candidate should possess strong expertise in LangChain, LangGraph, MLflow, Databricks, PySpark, and production-grade AI deployment frameworks.

The role involves building scalable AI applications, developing intelligent agents, optimizing retrieval systems, and collaborating with data engineering and product teams to deliver impactful AI solutions.

Generative AI Development Design and implement enterprise GenAI applications using LLMs. Develop multi-agent workflows and agentic AI systems using LangGraph. Build conversational AI, copilots, knowledge assistants, and intelligent automation solutions. Engineer prompts and workflows to optimize model performance and user experience. RAG & Knowledge Systems Design and implement Retrieval-Augmented Generation (RAG) pipelines. Integrate vector databases and document retrieval frameworks. Optimize document chunking, embeddings, indexing, retrieval, and reranking strategies. Improve response accuracy, latency, and relevance of AI systems.

Deployment & Productionization Deploy and serve models using MLflow and Databricks. Monitor model performance, drift, and operational metrics. Implement CI/CD pipelines for AI and machine learning workloads. Ensure scalability, reliability, and observability of AI services. Leadership & Mentorship Mentor junior engineers and AI practitioners. Conduct design reviews and architecture discussions. Define GenAI development standards and best practices. Collaborate with business stakeholders to identify AI use cases and translate them into solutions.