Senior AI Engineer

Kota

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

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

Skills & tools

LLMAIPythonMachine LearningGenerative AINLPMLOpsData ScienceRAGGenAIComputer VisionDeep LearningData EngineeringmicroservicesDistributed Systems

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years software engineering experience
  2. 022+ years LLM or AI agent experience in production
  3. 03Experience with agent architecture and retrieval strategies
  4. 04Experience building evaluation frameworks
  5. 05Full stack proficiency
  6. 06Strong written communication skills
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