GenAI Infra Engineer — Build Scalable AI Platform

United States Digital Space LLC; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

United States Digital Space LLC is seeking a Software Engineer on the ML Infrastructure team to design and evolve core AI platform capabilities, enabling GenAI-powered applications at scale across the company.

You will work with product and platform engineers to build scalable tools, and contribute to end-to-end ML workflows, from data processing to model deployment, while collaborating with senior engineers to evaluate new frameworks and tools for accelerated delivery.

Qualifications

• Bachelor's degree in CS or related field is required or equivalent.
• Strong fundamentals in data structures, algorithms, and software design.
• Experience with Go and Python and multiple languages is ideal.

Responsibilities

• Build and evolve core AI platform capabilities to develop, run, and scale GenAI-powered applications.
• Design, develop, and deploy scalable tools and infrastructure for ML workflows, data pipelines, and model serving.
• Work across backend services and integrations with AI models and tooling.
• Collaborate with senior engineers to evaluate next-generation AI infrastructure frameworks and tools.
• Drive projects to completion with focus on measurable business impact.
• Solve complex technical problems and stay updated with advances in AI infrastructure.

Skills

Go

Python

Data structures & algorithms

SQL/NoSQL

AI tooling

Ambiguity tolerance

Bias to action

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

DynamoDB

Git

CI/CD

Job description

United States Digital Space LLC is seeking a Software Engineer on the ML Infrastructure team to design and evolve core AI platform capabilities, enabling GenAI-powered applications at scale across the company.

You will work with product and platform engineers to build scalable tools, and contribute to end-to-end ML workflows, from data processing to model deployment, while collaborating with senior engineers to evaluate new frameworks and tools for accelerated delivery.