AI Engineer
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Role details
Tech stack
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Job 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
Evaluation and Reliability
- 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
Collaboration
- 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
Do you have experience in Testing and evaluation?, * 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 bachelorâs degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts. Strongly 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 shouldnât act and comfort pushing back when âletâs add an agentâ isnât the right answer
- Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Benefits & conditions
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. Weâre always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the worldâs most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. Join Us from Anywhere While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: * Flexible Time Off to recharge when needed
- Nine Company-Wide Holidays
- A diverse suite of benefits prioritizing your growth, development, and personal well-being
About the company
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role.
About the team and what weâll build together Kobie runs some of the largest loyalty programs in the world. Weâre building an internal agent platform on Amazon AgentCore 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., Who we are As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the worldâs most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our teamâs passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. A place for all We celebrate and embrace diversity at Kobie! Employment at Kobie is based solely on an individualâs 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. We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values.
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