Senior AI Engineer

Kota

WorldwideFully remoteFull TimeInformation Technology
No salary statedPosted 4w ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 29 days ago

About the role

About the Company

Kota is reimagining insurance and retirement benefits for the modern workforce. Through our two flagship products, Kota Platform and Kota Embed, we are making benefits more accessible, valued, and global.

Responsibilities

  • Design and ship AI agent systems end to end, from early experiments through to production
  • Own the data access layer, retrieval strategy, and integration with existing infrastructure
  • Build and own the evaluation framework from scratch, including golden datasets and regression harnesses
  • Set the technical direction for AI at Kota regarding agent architecture and product leverage
  • Collaborate with the AI Product Lead and Platform team to surface new AI opportunities

Requirements

  • 5+ years of software engineering experience
  • 2+ years working directly on LLM or AI agent systems in production
  • Strong grasp of agent architecture, context management, tool use, and prompt design
  • Experience building evaluation frameworks (golden datasets, regression testing)
  • Ability to work across the full stack
  • Clear written communication skills

Preferred Qualifications

  • Background in fintech, payroll, HR tech, or benefits
  • Experience with AWS, Azure, or the Microsoft ecosystem
  • Experience generating synthetic evaluation data
  • Experience working in early-stage or scale-up environments

Benefits

  • Health Insurance via Kota with generous allowance
  • Workplace Pension with matched contributions up to 5%
  • WFH stipend to support your home office
  • 25 days of Paid Time Off
  • Annual company-wide offsite and dedicated team offsite
  • Attractive stock options for all employees

What we look for

  • 5+ years software engineering experience
  • 2+ years LLM or AI agent experience in production
  • Experience with agent architecture and retrieval strategies
  • Experience building evaluation frameworks
  • Full stack proficiency
  • Strong written communication skills
LLMAIPythonMachine LearningGenerative AINLPMLOpsData ScienceRAGGenAIComputer VisionDeep LearningData EngineeringmicroservicesDistributed Systems
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