Staff Engineer - Data Platforms

Job Description

IV.AI, a US company headquartered in Los Angeles, is looking for a Lead Engineer to lead engineering on one of its data platforms. The role will be reporting directly to the CTO and will collaborate closely with product, engineering, data science, marketing, design and customer service team members to work on our data platform. The role isn't a machine learning role but the ideal candidate should be interested in the NLP/machine learning space.

Time Zone: PST

Responsibilities:

• Lead technical direction of the data platform
• Advocate for and implement best practices in modeling, API, and interface design
• Mentor and support engineering team members, fostering a culture of technical excellence, collaboration, and continuous learning
• Partner closely with product and data science teams to align platform capabilities with business and technical needs
• Actively participate in technical discussions, requirements gathering, and strategic planning
• Design and maintain core platform services that power business-critical systems
• Lead architectural discussions to support platform scalability, performance, and reliability
• Collaborate with other Engineering and Data Science leads throughout the business
• Write clean and concise code that can easily be collaborated on by other team members

Requirements

Required Experience

• 3+ years of experience in software engineering, with demonstrated experience in full stack development (with experience in TypeScript or Python)
• 1+ years of direct management experience

Preferred Experience

• Strong communication skills, with the ability to translate complex technical concepts for diverse audiences
• Proven ability to balance technical trade-offs and make pragmatic decisions that consider both immediate needs and future scalability
• Proven ability to mentor and lead technical projects in cross-functional environments
• A passion for building robust systems that enable data-driven decision-making
• Experience with managing complex data driven production apps in cloud environments