AI Engineer

Role Overview

The hands-on builder of the AI-augmented enterprise, operating in a 1 to 3 person Frontier pod. Applies agentic AI, prompt engineering and AI-driven delivery to build, ship and operate AI-native systems end to end, spanning software, infrastructure, data, quality and operations. A full-stack generalist who reaches for an AI tool first, accountable for measured customer outcomes and owning production systems permanently.

Responsibilities

• Orchestrate multi-agent coding pipelines and integrate agent outputs into production environments.
• Specify intent prompts for AI coding agents; review and validate AI-generated code for quality and correctness.
• Design and build RAG pipelines, vector stores and knowledge bases.
• Deploy and operate LLMs and agents in production; monitor drift and implement safety guardrails.
• Build AI-embedded workflows and applications using enterprise AI builders and automation platforms.
• Automate L1/L2 operations using AIOps tooling and intelligent incident routing.

Requirements

• 3-10 years of technical delivery experience with strong AI-tool fluency.
• Must pass the Frontier CoE assessment covering Dev, Infra, Cloud, Production, Domain, and AI foundations.
• Completion of a 4-week build bootcamp to ship a working application.
• Strong competency in Agentic Engineering, LLMOps, and Full-Stack AI Delivery.

Skills

• LangChain
• RAG
• LLMOps
• Python
• Vector Databases