GenAI Engineering Manager

Summary

Join Turing, a rapidly growing AI company, as a key member of the GenAI delivery organization. You will build and deliver technical roadmaps for LLM-based solutions, leading a team of engineers. Responsibilities include developing and optimizing LLM solutions using techniques like prompt engineering and RAG, ensuring high-quality code, and collaborating with cross-functional teams. The ideal candidate possesses 12+ years of experience in building machine learning models and 1+ year of hands-on experience with LLMs. Expert proficiency in Python, Langchain/Langgraph, and SQL is required, along with experience with cloud services (Azure, GCP, or AWS). Turing offers a competitive compensation, flexible working hours, and a full-time remote opportunity.

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