AI Engineer

Kobie is a loyalty solutions company that helps recognized brands build lasting emotional connections with consumers. The AI Engineer will build and operate an internal agent platform using Python, Amazon AgentCore, LangChain/LangGraph, Snowflake, and LLM technologies, with responsibility for agent development, evaluation, reliability, monitoring, and collaboration with data engineers.

Responsibilities

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

Preferred

• Hands-on experience with Amazon Bedrock and/or AgentCore 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, MarTech, AdTech, or a comparable data rich B2B domain

Amazon Bedrock

Amazon AgentCore

Agent Development

Agent Runtime

Agent Gateways

Agent Memory

Agent Policies

Guardrails

Observability

AWS CLI

Model Evaluations

Snowflake

Snowpark

Snowflake Cortex

SQL

Semantic Modeling

Multi-Agent Patterns

Supervisor-Router Patterns

Subagent Handoffs

Agent Reflection

Human-in-the-Loop

Loyalty Domain Experience

MarTech Experience

AdTech Experience

Data-Rich B2B Experience

Critical Thinking

Willingness to Push Back

Benefits

Flexible work environment with the freedom to work remotely

Flexible Time Off to recharge when needed

Nine Company-Wide Holidays

Company

End-to-end loyalty solutions provider for major brands

St. Petersburg, Florida, USA

http://www.kobie.com/

Founded in 1990

201-500 employees

Qualifications

Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role

• 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

• Hands-on experience with Amazon Bedrock and/or AgentCore 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, MarTech, AdTech, or a comparable data rich B2B domain

Required skills

Python, LLM Application Development, LangChain/LangGraph, LLM Evaluation Frameworks, LLM Observability, Git, Docker, API Development, Amazon Bedrock/AgentCore, Snowflake, SQL, Retrieval-Augmented Generation (RAG)

Preferred skills

• Experience with Snowflake, Snowpark, or Snowflake Cortex

Experience

3+ years