Kobie
Data Science
LeadAIEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead AI Engineer at Kobie. Skills: AI Engineering, LLM Systems, Production Operations. Author per-feature implementation specs. Ship hardest implementation work”
What You'll Achieve.
Authored two per-feature implementation specs; Shipped one load-bearing piece of platform; Reviewed enough PRs
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
6+ years Python, 2+ years operating LLM systems, Demonstrated experience implementing oversight mechanisms, Written communication skills, Solid SQL, Git, Docker
Nice to Have
Hands-on experience with Amazon Bedrock, Experience with Snowflake, Experience in loyalty, martech, adtech
What You'll Do.
Author per-feature implementation specs
Ship hardest implementation work
Implement human-in-the-loop routing
Implement public/private gateway access controls
Build early agent harnesses
Name implementation tradeoffs
Surface gaps in upstream architectural specs
Push back on approach
Design human-in-the-loop routing system
Implement execution wrapper
Set standard for shipping
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Written communication
Full Job Description
## Description Join our India Tech Hub – Be among the first hires! Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world’s most recognized brands while working alongside some of the best and brightest in loyalty. ## How You Will Make An Impact Spec Authoring & Hard Implementation Author per-feature implementation specs (problem framing, approach, module/file map, contracts touched, test plans) at a rigor level code agents and engineers can build against without re-deriving design intent Ship the hardest implementation work yourself — the human-in-the-loop routing, the public/private gateway access controls, the early agent harnesses Bring strong design agency: name the implementation tradeoffs, surface gaps in upstream architectural specs, push back when an approach won't hold up in production Oversight & Reliability Design and implement the human-in-the-loop routing system: queue mechanics, reviewer assignment, back-pressure handling, run resumption semantics Implement the execution wrapper that enforces human-in-the-loop polices at execution time Build the safeguards — refusal policies, prompt-injection protections, public/private MCP exposure controls — that make our agents safe to deploy at scale Mentorship & Review Review PRs (human- and code-agent-authored) at a depth that builds shared judgment about what good agent code looks like Mentor engineers through hard imple
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