Engineer 2 - AI Enablement

brobstongroup.com - Jobboard; Seattle (WA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

brobstongroup.com - Jobboard is seeking an Engineer 2 on the AI Enablement team in Seattle. In this hybrid role, you will build and evolve infrastructure and platform capabilities for Generative AI, collaborating with cross-functional teams to enhance developer productivity.

We require candidates with 2+ years of software engineering experience, strong Python skills, and hands-on Kubernetes experience. Join us to play a significant role in shaping our technical and business strategy.

Qualifications

• 2+ years of professional software engineering experience.
• Strong analytical, debugging, and problem-solving skills.
• Ability to write clear, tested, maintainable code.

Responsibilities

• Design and develop AI-driven tools to improve engineering productivity.
• Build and maintain scalable infrastructure using Kubernetes and AWS.
• Collaborate with product managers and mentor other engineers.

Skills

Python programming

Kubernetes

AWS

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AI/ML tools or frameworks (e.g., Microsoft AutoGen)

Job description

Summary

As an Engineer 2 on the AI Enablement team you will build and evolve infrastructure and platform capabilities to enable safe, effective use of Generative AI. You will work with minimal supervision on larger components and applications that enhance developer productivity and influence technical and business strategy. This is a hybrid position based in Seattle requiring regular office presence.

Responsibilities

• Design and develop AI-driven tools and platform capabilities to improve engineering productivity.


• Design system interactions and integrations with cloud services and other modules.


• Build and maintain scalable infrastructure using Kubernetes and AWS and participate in on-call rotations.


• Collaborate with product managers, data scientists, and engineers; participate in design reviews and mentor other engineers.

Requirements

• 2+ years of professional software engineering experience and a Bachelor’s or Master’s degree in Computer Science or related field.


• Strong Python programming skills and hands‑on experience with Kubernetes.


• Experience deploying applications to AWS and familiarity with AI/ML tools or frameworks (e.g., Microsoft AutoGen).


• Strong analytical, debugging, and problem‑solving skills and ability to write clear, tested, maintainable code.