AI Engineer

🕒 June 17

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Kobie

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1990

💼 Consulting

🏨 Hospitality

📦 Logistics

Consulting • Hospitality • Logistics

Kobie is a global, market-leading, end-to-end loyalty solutions provider for the world’s most successful brands. With strategy-led technology, Kobie is consistently named an industry leader by Forrester, with a mission of growing value through loyalty. The company specializes in transforming complex customer data into actionable insights and employs composable technology, human-guided AI, and strategic services to enable loyalty outcomes across various sectors including retail, travel and hospitality, financial services, entertainment, QSR, and telecom. Its Kobie Alchemy® Loyalty Cloud platform delivers and measures loyalty experiences that set brands apart.

📋 Description

• Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory • Package agent harnesses for the AgentCore 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 AgentCore 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 AgentCore, 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

🎯 Requirements

• 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 LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry • Experience designing evaluation frameworks (MLFlow, DeepEval, 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.

🏖️ 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