Turing - Principal Forward Deployed AI Engineer
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Requirements
• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems. • 1+ year 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
Responsibilities
• Build the technical roadmap given a business requirement and own the delivery of the same. • Build the technical roadmap • Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. • Lead the engineering team • 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. • Develop and optimize LLM-based solutions • 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. • Codebase ownership • Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. • Cloud integration • 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. • Cross-functional collaboration • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. • Mentoring and guidance • 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. • Continuous innovation • Education • Education • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field. • Computer Science • Engineering • Values: • Values: • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. • We are client first • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection • We work at Start-Up Speed: • We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. • We are Al forward: • Advantages 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 compensation • Flexible working hours
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