GenAI Engineering Manager

Summary

Join Turing, a leading AI-powered tech services company, as a GenAI Engineering Manager and contribute to solving business problems for Fortune 500 clients. You will lead a team of engineers in developing and deploying LLM-based solutions, leveraging your expertise in prompt engineering, RAG, and agent-based architectures. This role involves building technical roadmaps, leading the engineering team, and ensuring timely execution to achieve customer satisfaction. You will also be responsible for codebase ownership, cloud integration, cross-functional collaboration, mentoring, and staying abreast of the latest advancements in LLM research.

Requirements

• 12+ years of professional experience in building Machine Learning models & systems
• 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
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Experience in driving the engineering team toward a technical roadmap
• Excellent communication skills to effectively collaborate with business SMEs

Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction
• 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

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity