About the role :
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Required skills :
- 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
Roles & 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 of joining Turing :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 compensationFlexible working hoursHybrid office reporting(ref : hirist.tech)