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)