AI Engineer

Kobie; Raleigh (NC); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible Time Off

Nine Company-Wide Holidays

A diverse suite of benefits

Job summary

Kobie, located in Raleigh, NC, is hiring for a Python Developer specializing in Large Language Models (LLMs). In this role, you'll build innovative solutions using LangChain and collaborate with data engineers to enhance data retrieval patterns.

We prioritize a diverse, inclusive workforce and seek candidates who are passionate about technology and dedicated to meaningful outcomes. There’s no requirement for a bachelor's degree, valuing practical experience and diverse backgrounds.

Qualifications

• 3+ years of professional Python experience, particularly in building and operating services.
• 1+ years of hands-on work with LLMs in production environments.
• Experience designing evaluation frameworks.

Responsibilities

• Build agent harnesses in Python using LangChain and LangGraph.
• Implement guardrails around tool execution.
• Partner with data engineers on data retrieval patterns.

Skills

Python

Large Language Models (LLMs)

SQL

Git

Docker

Education

Equivalent practical experience

Tools

Amazon Bedrock

LangChain

Snowflake

Job description

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. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.

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

How You Will Make An Impact

Agent Development

• 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 e.g., 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
• 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

Required

• 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.

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 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

A place for all

We celebrate and embrace diversity at Kobie.

Employment at Kobie is based solely on an individual's 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 or 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.