Senior LLM Engineer

Summary

Join Turing, a leading AI-powered tech services company, as an experienced LLM engineer. You will be a key member of the GenAI delivery organization, working on projects for Fortune 500 clients. Responsibilities include developing and optimizing LLM-based solutions, maintaining codebases, integrating with cloud platforms, collaborating with cross-functional teams, mentoring junior engineers, and staying current on LLM advancements. This role requires extensive experience in machine learning, LLMs, and relevant programming languages. Turing offers a competitive compensation package, flexible working hours, and a full-time remote opportunity. We encourage applications from diverse candidates, even if they don't meet every requirement.

Requirements

• 7+ 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
• Experience in driving the engineering team toward a technical roadmap
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must
• Understanding of Cloud services, including Azure, GCP, or AWS
• Excellent communication skills to effectively collaborate with business SMEs

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

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