Senior GenAI Engineer

Job Description:

• 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

Key Responsibilities:

• 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

Technical Requirements:

• AI Platform Engineering
• Build scalable AI platforms on Databricks and cloud environments
• Develop model lifecycle management solutions using MLflow
• Implement model tracking versioning deployment monitoring and governance
• Support MLOps and LLMOps initiatives
• Data Engineering
• Build and optimize large scale data pipelines using PySpark
• Process structured and unstructured data for AI and analytics workloads
• Collaborate with data engineering teams to build feature and knowledge pipelines
• Ensure data quality lineage and governance standards

Additional Responsibilities:

• 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

Preferred Skills:

Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)