Senior/Staff LLM & GenAI Engineer (Python | LangChain | RAG)

Job Description

Job Title ? Sr./Staff GenAI Engineer Location ? Mumbai (Goregaon)- 3 days reports to Office Experience ? 9+ years Employment Type ? Fulltime Notice Period ? Immediate Joiners Preferred Mandatory ? ? Strong expertise in LLMs, prompt engineering, RAG, and AI agents. ? 9-12 years building production-grade ML systems. ? Advanced Python skills with LangChain/LangGraph experience. ? Proficient in SQL for data manipulation and building pipelines. ? Hands-on experience deploying GenAI apps on Azure/GCP/AWS. ? Ability to design scalable, high-performance GenAI architectures. ? Excellent communication for cross-functional collaboration. ? Proven ability to mentor, lead, and drive innovation in GenAI Required skills ? 8+ years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10+ years for Staff GenAI Engineer ? 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. ? Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. ? Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications ? Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities ? Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. ? Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. ? Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. ? Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. ? Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. ? Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.