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Gen AI Engineer

Unit is a market leader in embedded finance, offering ready-to-launch financial services like banking and capital, serving millions of end-users.
Machine Learning
Staff Software Engineer
Hybrid
101 - 500 Employees
8+ years of experience
AI · Finance

Description For Gen AI Engineer

Unit, a leading embedded finance platform processing over $40b+ annually and handling 12m+ API calls daily, is seeking their first Generative AI Engineer to spearhead their expansion into the GenAI era. This role represents a unique opportunity to shape the future of financial technology by implementing AI solutions across all aspects of the business.

The position combines strategic technical leadership with hands-on development, perfect for an experienced engineer who can both deliver immediate impact and architect long-term solutions. You'll be responsible for identifying and implementing AI opportunities across the organization, from backend automation to customer-facing features.

As the first GenAI Engineer, you'll have the chance to build the foundation of Unit's AI infrastructure, working with cutting-edge technologies and establishing best practices for the entire organization. The role requires a blend of technical expertise in both traditional software engineering and modern AI systems, particularly large language models (LLMs).

Unit has raised over $160m+ from prestigious investors including Insight and Accel, and serves major clients like Wix, Bill.com, and Honeybook. The company's strong financial backing and established market presence provide a stable platform for innovative AI development. You'll be joining a global team of passionate individuals working to create a more equitable financial ecosystem.

Last updated 3 days ago

Responsibilities For Gen AI Engineer

  • Identify opportunities for AI integration across the organization and define KPIs
  • Design, implement, and scale production-ready GenAI systems
  • Deploy and operate AI systems on AWS ensuring reliability, security, and cost-effectiveness
  • Collaborate with product and engineering teams to identify GenAI opportunities
  • Build frameworks and internal tooling for GenAI adoption
  • Establish best practices around evaluation, model iteration, and observability
  • Educate and support peers in understanding and using GenAI capabilities

Requirements For Gen AI Engineer

  • Engineering leadership experience (former Tech Lead, Staff Engineer, VP Eng)
  • Strong backend development experience with modern engineering practices
  • Experience in full GenAI lifecycle: model selection, benchmarking, optimization, deployment, and monitoring
  • Familiarity with latest LLMs concepts (MCPs N8N, RAG)
  • Deep curiosity and drive to infuse AI-first thinking
  • Excellent communication and collaboration skills
  • Familiarity with cloud platforms

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