Engineering Lead

About the company Our client is a fast-growing software company. The role Raydar is recruiting for this role on behalf of our client. Act as the senior hands-on engineer for a small, early engineering group, delivering product features while guiding a few teammates. Time is divided between building and technical leadership, with room to grow into broader engineering management as the team expands. What you'll do - Deliver product improvements from start to finish as the platform shifts toward a scalable, self-serve experience. - Make architecture decisions and rework existing systems together with the CTO. - Apply AI-assisted development tools and tailored workflows to increase delivery speed. - Lead a small group of engineers through mentorship, sprint planning and, over time, people management. - Contribute to the machine learning and product roadmap, including longer-term modeling plans. Requirements What we're looking for - At least 5 years in engineering roles, with only a limited stretch in purely managerial work, and still writing production code now. - Daily hands-on use of AI agents in your own tailored development workflows, and the ability to describe your current setup clearly. - Prior experience as a founding engineer, tech lead or staff-level individual contributor in a demanding startup, or at a large technology company with clear ownership of a core product. - A track record of taking a product from idea to launch with little supervision. - Full-stack skills across modern front-end and back-end work, with greater strength on the back end. - Solid grounding in applied machine learning, including classical methods, model validation and thoughtful perspectives on large language models. - A degree in computer science, math, statistics or machine learning from a highly regarded university. - Willingness to work on-site full-time in New York City, including relocating if needed. Bonus points - Time spent at an AI-focused company working on data-intensive products. - Graduate-level study or research in machine learning or statistics. Benefits Compensation and benefits - Base salary: USD 250,000 to 350,000 per year - Equity Location and work model - New York, NY, United States - On-site, 5 days per week in office - Full-time