Remote AI Engineer: Build Production-Ready Agent Tools

Kobie Marketing; United States; Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Flexible time off

Nine company-wide holidays

Remote-friendly culture

Growth and development opportunities

Job summary

Kobie Marketing is seeking a hands-on AI Engineer to ship on our loyalty platform. You will build agent harnesses, write tools, and own reliability and evaluation of production features used by real teams.

We value careful reasoning, shipped code, and the ability to learn new tools quickly. This remote-first role offers flexibility and opportunities to collaborate with a global client base.

Qualifications

• 3+ years of professional Python with production experience.
• 1+ years of hands-on work with LLMs in production.
• Experience with LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel.
• Experience with LLM observability tools: 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.
• A bachelor’s degree is not required; equivalent practical experience counts.

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.

Skills

Python

LLMs in production

LangChain/LangGraph

Prompt engineering

API frameworks

Git

Docker

SQL

Tools

Amazon Bedrock

AgentCore

Snowflake

Snowpark

SDKs/APIs

awscli

Job description

Kobie Marketing is seeking a hands-on AI Engineer to ship on our loyalty platform. You will build agent harnesses, write tools, and own reliability and evaluation of production features used by real teams.

We value careful reasoning, shipped code, and the ability to learn new tools quickly. This remote-first role offers flexibility and opportunities to collaborate with a global client base.