Development Lead, Payroll & Time

Role overview

Build and deploy applied AI solutions that address practical needs across areas such as marketing, design, supply chain, retail operations, and engineering. The work ranges from quick prototypes to reusable, production-grade systems, combining creative experimentation with sound engineering and responsible model use.

Responsibilities

- Develop tailored AI applications, including image generation, conversational assistants, and workflow automation. - Prototype with APIs, open models, and cloud services to test ideas and demonstrate their value. - Turn successful experiments into maintainable systems or reusable components that can scale. - Assess external AI tools for integration fit, cost, and business value. - Work with teams across the business to turn operational and creative needs into AI-enabled solutions. - Apply responsible AI practices and mentor colleagues in practical experimentation and adoption.

Requirements

- At least 10 years of experience in data or software engineering. - A master’s or doctoral degree in AI, machine learning, or data science. - Strong Python and SQL skills, experience with a major cloud AI platform, and familiarity with modern AI frameworks. - Solid grounding in machine learning methods such as classification, natural language processing, computer vision, and embeddings, alongside practical data engineering. - Experience integrating AI into business workflows and developing or implementing model evaluation frameworks. - Ability to prototype quickly while designing systems for long-term scale, and to work effectively with ambiguous requirements.

Benefits and work setup

- Posted annual base salary range: $160,000–$190,000 USD. Actual pay may vary based on location, experience, and performance. - Other rewards may include performance bonuses, long-term incentives, paid time off, and additional benefits.