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Kobie

Delivers end-to-end loyalty strategy and tech

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 3 years of professional Python experience, including production experience building and operating services.
  • At least 1 year of hands-on experience with large language models in production, including prompt and context engineering, tool or function calling, structured outputs, and retrieval-augmented generation.
  • Working knowledge of LangChain, LangGraph, or a comparable framework such as AgentCore Strands, CrewAI, or Semantic Kernel.
  • Experience with large language model observability tools such as Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry.
  • Experience designing evaluation frameworks, including MLflow, DeepEval, large language model as judge, or multi-turn regression.
  • Fluency with Git, Docker, and modern API frameworks.
  • Clear written communication and judgment about when work is ready to ship.
  • A bachelor's degree is not required; equivalent practical experience, including bootcamps, self-taught work, career changes, or non-computer-science technical degrees, counts.

Responsibilities

  • Build agent harnesses in Python using LangChain and LangGraph, including tool calling, structured outputs with Pydantic or JSON Schema, retries, streaming, and memory.
  • Package agent harnesses for AgentCore Runtime with appropriate context, tools, skills, and subagents for production flows and scenarios.
  • Write the tools and skills agents use, including API integrations, SQL queries against Snowflake, and Snowflake-backed knowledge retrieval with clear contracts and Pydantic validation.
  • Build evaluation harnesses using golden datasets, large language model as judge, and regression suites with AgentCore Evaluations, and integrate them into continuous integration.
  • Implement guardrails around tool execution, including authorization scoping, input/output validation, personally identifiable information and prompt-injection protections, and hallucination mitigation.
  • Prototype and deploy through Amazon AgentCore, monitor traces, and fix issues when they occur.
  • Partner with data engineers on Snowflake-backed retrieval patterns, including Cortex Analyst and Cortex Search Services.
  • Contribute to refining internal engineering patterns as the technology stack evolves.

Desired Qualifications

  • Hands-on developer experience with Amazon Bedrock and/or AgentCore, including runtime, gateways, memory, policy, guardrails, observability, AWS CLI, or evaluations.
  • Experience with Snowflake, Snowpark, or Snowflake Cortex.
  • Fluency in writing and reading SQL and understanding semantic models.
  • Familiarity with multi-agent patterns, including supervisor/router, subagent/handoff, reflection, and human-in-the-loop.
  • A considered view on where agents should and should not act, and willingness to push back when adding an agent is not the right approach.
  • Experience in loyalty, MarTech, AdTech, or a comparable data-rich B2B domain.

About the Company

Kobie

Delivers end-to-end loyalty strategy and tech

Kobie provides end-to-end loyalty solutions for leading brands. It combines strategy with technology to design, launch, and manage loyalty programs that enhance customer experiences. The product works by using a strategy-led, technology-enabled approach to uncover what truly drives consumer behavior and then applying data-driven insights to engage customers through rewards, communications, and program governance. Kobie differentiates itself through its long track record (34+ years), its status as a leader in loyalty services and technology (as recognized by Forrester), and its focus on emotional drivers behind customer loyalty, not just transactions. It aims to grow enterprise value for brands by strengthening loyalty and customer relationships across the entire program lifecycle.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Saint Petersburg, Florida
Founded
1990

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