[Remote] AI Engineering Lead

Note: The job is a remote job and is open to candidates in USA. Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. The AI Engineering Lead will be responsible for leading a team of engineers to develop and implement large language models and generative AI applications, ensuring technical excellence and customer satisfaction.ResponsibilitiesBuild the technical roadmap given a business requirement and own the delivery of the sameLead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfactionDesign robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditionsProvide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model developmentLead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architecturesBuild and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runsBuild & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practicesDeployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processesActively follows the frontier and has differentiated, up-to-date views on model releases, agentic architectures, evaluation methods, tool-use and computer-use patterns, multimodal capability, reasoning/test-time compute trends, and the serious open questions in the fieldProduce a structured, high-signal answer to an open-ended technical or strategic question — while modulating depth for a non-engineering executive audienceWork closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI productsSkills12+ years of professional experience in software engineers and building applications/systems2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly multi-agent systemsExpert proficiency in programming skills in Python, Langgraph and SQL is a mustExpert in architecting GenAI applications/systems using various frameworks & cloud servicesExpert proficiency in using AI tools like claude code, codex, cursor, windsurf and the likesExpert proficiency in AI observability & evaluation tools like Langsmith, Langfuse or similarGood proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applicationsExperience in driving the engineering team toward a technical roadmapExcellent communication skills to effectively collaborate with business SMEsBenefitsAmazing 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 hoursCompany OverviewTuring advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs. It was founded in 2018, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.turing.com.Company H1B SponsorshipTuring has a track record of offering H1B sponsorships, with 1 in 2026, 16 in 2025, 8 in 2024, 7 in 2023, 16 in 2022, 6 in 2021. Please note that this does not guarantee sponsorship for this specific role.