As an AI Product Engineer, you will develop innovative LLM-powered solutions, enhance AI systems, and collaborate with cross-functional teams to improve customer experiences.

Collaborate with product leaders to build scalable AI product features, mentor teammates, and shape engineering culture in a fast-moving environment.

The Full Stack Engineer will build and maintain scalable product features, collaborate with cross-functional teams, mentor peers, and contribute to engineering culture.

Lead the development of ML product infrastructure, create a scalable platform for ML solutions, collaborate with teams, and mentor new engineers.

Lightfield seeks a Machine Learning Engineer to create innovative AI experiences, collaborate on AI/ML strategy, develop product features, and recruit team members. Must have 5+ years in AI/ML and NLP.

The Software Engineer will architect, build and scale the core infrastructure for an AI-driven CRM, ensuring system performance and resilience. Responsibilities include developing data models and backend services, maintaining full-stack systems, and mentoring team members.

The role involves building scalable, reliable features for a next-gen CRM, leading design discussions, mentoring team members, and collaborating on technical execution.

Lead the Infra & Data function, define infrastructure strategy, develop AI-native data systems, recruit and mentor engineering teams.

Lead the recruitment strategy at Lightfield, focusing on hiring exceptional engineering talent. Oversee end-to-end recruitment, design employer branding, and improve candidate experience while partnering with leadership to enhance hiring practices.

Lead and build Lightfield's content marketing strategy by creating high-quality content across various formats, focusing on AI and GTM topics.

The Customer Success Lead will manage onboarding and support for new accounts, drive revenue expansion, convert users to paying customers, and synthesize customer feedback into actionable insights for internal teams.