
Job Overview
Location
Europe
Job Type
Full-time
Category
Software Engineering
Date Posted
July 2, 2026
Full Job Description
đź“‹ Description
- • Design and ship end-to-end AI agent systems from early experiments to production, owning data access layers, retrieval strategies, and integration with Kota’s existing infrastructure including Metabase and internal APIs
- • Build and own the AI evaluation framework from scratch, including golden datasets, regression harnesses, and methods to distinguish retrieval failures from generation failures in a regulated environment
- • Identify and mitigate silent failure modes such as prompt injection and data boundary violations specific to benefits data in a compliance-sensitive context
- • Set the technical direction for AI at Kota, contributing directly to agent architecture decisions and determining where AI creates the most product leverage
- • Collaborate across the AI pod and Platform team to surface new AI opportunities, raise engineering standards through peer review, and document technical decisions with precision
- • Work closely with the AI Product Lead to translate product goals into technical implementations, ensuring alignment between user needs and system capabilities
- • Operate in an early-stage AI pod with high ownership, shaping the role’s scope as the team grows and evolving systems based on real-world usage and feedback
- • Make deliberate architectural tradeoffs between context management, tool use, retrieval strategies, and prompt design, defending decisions with technical rigor
- • Prioritize evaluation before demonstration, ensuring systems are robust before deployment, and maintain an unsentimental post-mortem culture for production failures
- • Understand the difference between retrieval and generation problems, and avoid defaulting to retrieve-everything or hardcode-everything patterns in agent design
- • Contribute to the technical culture by documenting systems clearly, communicating decisions to non-technical stakeholders without losing precision, and continuously raising the team’s standards
🎯 Requirements
- • 5+ years of software engineering experience, with at least 2 years working directly on LLM or AI agent systems in production
- • Strong grasp of agent architecture, including context management, tool use, retrieval strategies, and prompt design, with ability to make and defend tradeoffs
- • Experience building evaluation frameworks from scratch, including golden datasets, regression testing, and analysis of retrieval vs. generation failures
- • Comfort working across the stack and clear written communication skills to explain technical decisions to non-technical stakeholders
- • Background in fintech, payroll, HR tech, or benefits, with understanding of data freshness and auditability in regulated contexts
- • Experience with AWS, Azure, or the broader Microsoft ecosystem
🏖️ Benefits
- • Health Insurance via Kota with generous allowance
- • Workplace Pension with matched contributions up to 5% via Kota
- • 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 & Technologies
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About Kota Technologies Limited
Kota Technologies Limited offers a platform designed to streamline employee benefits, including health insurance, pensions, life assurance, and flexible benefits. Kota's products integrate with HRIS and payroll systems like Payfit to automate benefits administration, aiming to reduce errors and improve employee engagement. They target people and finance teams, offering solutions for auto-enrollment and benefits management. Kota aims to solve the administrative burdens associated with fragmented benefits providers. They work with companies like Tines, Carwow, and Unmind.
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