AI Engineering Lead

About Nimbus Data Systems Based in San Francisco, California, Nimbus Data Systems is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Nimbus Data Systems accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Nimbus Data Systems builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Nimbus Data Systems’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Overview Nimbus Data Systems is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Nimbus Data Systems Intelligence delivery organization and part of a GenAI project. You will be required to lead a team of other Nimbus Data Systems engineers across different skill sets. In the past, the Nimbus Data Systems GenAI delivery organization has implemented industry leading multi-agent LLM systems and LLM deployments for major enterprises. Responsibilities Solutioning & Lead 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. Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Hands-on Skills Develop LLM-based solutions: 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. Codebase ownership: Build & 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: Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Communication 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. 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. Requirements 12+ years of professional experience in software engineering 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 GenAI applications. Experience in driving the engineering team toward a technical roadmap. Excellent communication skills to effectively collaborate with business SMEs. 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 work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Nimbus Data Systems 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 Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Nimbus Data Systems is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Nimbus Data Systems we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Nimbus Data Systems's GDPR notice here .