Senior AI Software Engineer — Agentic Systems Lead

Aimlroles

Northern (KY)

Hybrid

USD 182,000 - 259,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Equity
Bonus/Commission

Job summary

Commerce seeks an AI Lead Software Engineer to design and implement AI-based product solutions, guiding multi-team efforts from high-level designs to low-level implementations. You'll mentor teams, evangelize AI technologies, and drive measurable outcomes across our AI initiatives.

You will partner with Product & Engineering leadership to shape the AI strategy, assess technology options, and deliver scalable, secure systems for large-scale commerce use cases.

Qualifications

  • Experience architecting and shipping AI systems in production.
  • Strong server-side engineering in Python/Go/Java or similar.
  • Experience building product solutions with LLMs and GenAI.

Responsibilities

  • Interface with stakeholders to provide context and technical guidance.
  • Lead high-level and low-level design efforts for AI initiatives.
  • Serve as lead engineer for major AI programs across teams.
  • Deliver quick-turnaround solutions balancing speed, scalability and reliability.
  • Shape the AI strategy with Product & Engineering leadership.
  • Assess tech options to optimize ROI for the business.
  • Build scalable, secure, cost-effective systems at large scale.

Skills

Agentic AI systems
Server-side engineering
LLMs/GenAI
Data pipelines
Cloud platforms
API architecture
MLOps
Frontend frameworks

Education

Bachelor's degree in CS/EE/SW/CE/MIS

Tools

Vector databases
Model orchestration
Inference frameworks

Job description

Commerce seeks an AI Lead Software Engineer to design and implement AI-based product solutions, guiding multi-team efforts from high-level designs to low-level implementations. You'll mentor teams, evangelize AI technologies, and drive measurable outcomes across our AI initiatives.

You will partner with Product & Engineering leadership to shape the AI strategy, assess technology options, and deliver scalable, secure systems for large-scale commerce use cases.

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