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.