AI Engineer

This is a fully remote position, open to applicants in Florida.

📋 Description

• Develop agent harnesses utilizing Python with LangChain and LangGraph, incorporating tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory management.

• Package agent harnesses for the AgentCore Runtime, ensuring they contain the right context, tools, skills, and subagents that integrate seamlessly into production workflows and scenarios.

• Create the tools and skills utilized by agents: API integrations, SQL queries for Snowflake, and retrieval of Snowflake-backed knowledge with clear contracts and Pydantic validation.

• Construct evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations and integrate them into CI processes.

• Implement safeguard measures around tool execution: including authorization scoping, input/output validation, protections against PII and prompt injection, and mitigation of hallucinations.

• Take full responsibility for what you deliver: prototype, deploy via Amazon AgentCore, monitor traces, and address issues as they arise.

• Collaborate with data engineers on retrieval patterns backed by Snowflake (Cortex Analyst and Cortex Search Services).

• Contribute to the enhancement of our internal engineering practices as the technology stack evolves.

⛳️ Requirements

• A minimum of 3 years of professional experience in Python, with hands-on experience in building and managing services in production.

• At least 1 year of practical experience with LLMs in production settings, including prompt/context engineering, tool/function calling, structured outputs, and RAG.

• Familiarity with LangChain/LangGraph or a similar framework such as AgentCore Strands, CrewAI, or Semantic Kernel.

• Experience with LLM observability tools like Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry.

• Proficiency in designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression).

• Strong skills in Git, Docker, and contemporary API frameworks.

• Excellent written communication skills and the ability to discern when something is ready for deployment.

• A bachelor’s degree is not mandatory; equivalent practical experience, including bootcamps, self-directed learning, career transitions, or non-CS technical degrees, is acceptable.

🏝️ Benefits

• Flexible Time Off to rejuvenate when necessary.

• Nine Company-Wide Holidays.

• An extensive array of benefits focusing on your growth, development, and personal well-being.