AI Engineer

🕒 June 17

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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, retries, streaming, and memory • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents • Write agent tools and skills, including API integrations, SQL queries against Snowflake, and Snowflake-backed knowledge retrieval with clear contracts and Pydantic validation • Build evaluation harnesses using golden datasets, LLM-as-judge, and regression suites with AgentCore Evaluations, and wire them into CI • Implement guardrails around tool execution, including authorization scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation • Prototype, deploy through Amazon AgentCore, monitor traces, and fix production issues • Partner with data engineers on Snowflake-backed retrieval patterns, including Cortex Analyst and Cortex Search Services • Contribute to refining 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, including prompt/context engineering, tool/function calling, structured outputs, and RAG • Working knowledge of LangChain/LangGraph or a comparable framework such as AgentCore Strands, CrewAI, or Semantic Kernel • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry • Experience designing evaluation frameworks, including MLFlow, DeepEval, LLM-as-judge, and multi-turn regression • Fluency with Git, Docker, and modern API frameworks • Clear written communication and 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 AgentCore as a developer preferred • Experience with Snowflake, Snowpark, or Snowflake Cortex preferred • Fluency in writing and reading SQL, as well as understanding semantic models preferred • Familiarity with multi-agent patterns preferred • Experience in Loyalty, MarTech, AdTech, or a comparable data-rich B2B domain preferred • Candidates should be able and willing to travel as needed

🏖️ 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 • Flexible work environment • Remote work • Periodic travel may be required for business objectives, team collaboration, customer engagements, training, and company events