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Principal Engineer, AI Engagement Lead

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: vibehackers
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 270000 USD Yearly USD 180000.00 270000.00 YEAR
Job Description & How to Apply Below

Explicitly requires vibe coding skills—daily GenAI-driven development and rapid prototyping with LLMs.

About the Role

Lead end-to-end AI engagements as a hands-on Principal Engineer, using GenAI to rapidly prototype and deliver production-grade applications. Own discovery, POC build, architecture, and production rollouts while coaching client and OCI teams.

Job Description Role

Principal Engineer / AI Engagement Lead responsible for running AI-first client engagements from discovery through production. This is a hands-on architect-and-builder role that uses generative AI tools to prototype and ship business applications while ensuring production stability, testing, and security.

Key Responsibilities
  • Run lightweight discovery across core business processes and underlying data (finance, HR, customer, productivity).
  • Shape company-wide AI rollout plans with client executives and prioritize initial work.
  • Rapidly build proofs of concept using GenAI to demonstrate value.
  • Lead follow-on builds: define architecture, enforce testing and security, implement infrastructure as code, and deploy to client cloud environments.
  • Unblock and coach the engagement team; serve as technical point of contact for the client sponsor.
  • Capture learnings and contribute reusable accelerators for OCI engagements.
Typical Stack
  • MCP
  • Python, Type Script
  • Databricks, Snowflake
Requirements
  • Extensive practical experience building with GenAI and LLMs in production (retrieval, evaluation, agents, tool use).
  • Deep technical expertise in at least one area: application development, data engineering, or cloud; strong architectural capability across all three.
  • Proven track record as a technical lead on multiple systems that went live and remained production-stable, ideally in regulated industries.
  • Ability to read and evaluate Python and Type Script code and to judge AI-generated outputs.
  • Business fluency to run discovery and create executive-funded plans.
  • Strong communication skills and experience leading engineers and mentoring without formal authority.
How You’ll Spend Your Time
  • Staffed on one or two client engagements at a time.
  • Scoping new work, mentoring OCI engineers, and building shared accelerators between engagements.
Skills

GenAI development LLM integration System Architecture Application Development Data Engineering Cloud Architecture Dev Ops / Infrastructure as Code Testing & Quality Security Discovery & Requirements Gathering Client-facing Communication Leadership & Coaching Project Scoping

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