[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.
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
- Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions
- Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development
- Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures
- Build and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runs
- Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices
- Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes
- Actively 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 field
- Produce a structured, high-signal answer to an open-ended technical or strategic question — while modulating depth for a non-engineering executive audience
- Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products
Skills
- 12+ years of professional experience in software engineers and building applications/systems
- 2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly multi-agent systems
- Expert proficiency in programming skills in Python, Langgraph and SQL is a must
- Expert in architecting GenAI applications/systems using various frameworks & cloud services
- Expert proficiency in using AI tools like claude code, codex, cursor, windsurf and the likes
- Expert proficiency in AI observability & evaluation tools like Langsmith, Langfuse or similar
- 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
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
Company Overview
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