AI Engineer

Benefits

• Flexible Time Off to recharge when needed
• Nine Company-Wide Holidays
• A diverse suite of benefits prioritizing your growth, development, and personal well-being

Kobie runs some of the largest loyalty programs in the world. We’re building an internal agent platform on Amazon Agent Core that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM‑native way to work with complex loyalty logic.

• Build agent harnesses in Python using Lang Chain and Lang Graph, including tool‑calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
• Package agent harnesses for the Agent Core Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
• Write the tools and skills agents use: API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

• Build evaluation harnesses (golden datasets, LLM‑as‑judge, regression suites) using Agent Core Evaluations, and wire them into CI
• Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt‑injection protections, and hallucination mitigation
• You own what you ship: prototype, deploy through Amazon Agent Core, monitor traces, and fix it when it breaks

• Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
• Contribute to refining our internal engineering patterns as the stack evolves

• 3+ years of professional Python, with production experience building and operating services
• 1+ years of hands‑on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
• Working knowledge of Lang Chain/Lang Graph or a comparable framework like Agent Core Strands, CrewAI, or Semantic Kernel
• Experience with LLM observability tools:
  Amazon Cloud Watch, Lang Smith, Langfuse, MLflow, or Open Telemetry
• Experience designing evaluation frameworks (MLFlow, Deep Eval, LLM‑as‑judge, multi‑turn regression)
• Fluency with Git, Docker, and modern API frameworks
• Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self‑taught work, career changes, or non‑CS technical degrees counts.

• Hands‑on experience with Amazon Bedrock and/or Agent Core as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
• Experience with Snowflake, Snowpark, or Snowflake Cortex
• Fluency in writing and reading SQL, as well as understanding semantic models
• Familiarity with multi‑agent patterns: supervisor/router, subagent/handoff, reflection, human‑in‑the‑loop
• A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
• Experience in Loyalty, Mar Tech, AdTech, or a comparable data rich B2B domain

Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law.