Key skills
PythonSQLAIMachine LearningMLGenerative AIGenAILLMLarge Language ModelsRAGLangChainLangGraphAWSAzureGCPCI/CDLeadershipMentoringCommunicationCollaboration
About this role
Turing is a leading research accelerator for frontier AI labs and a trusted partner for global enterprises. They are seeking a Principal Software Engineer with LLM experience to solve business problems for Fortune 500 customers, leading the design, training, and deployment of large language models.
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 the 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 the 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
Requirements:
- 8+ years of professional, hands-on engineering experience, including 4+ years specializing in building and deploying AI/ML models and systems
- 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents
- 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
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must
- Experience in driving the engineering team toward a technical roadmap
- Excellent communication skills to effectively collaborate with business SMEs
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field