Applied AI Engineer: End-to-End Production AI

United States Digital Space LLC

Bastrop (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking an applications software engineer specializing in Applied AI to design, evaluate, deploy, and integrate AI systems powering Starlink-related products and infrastructure. You will own end-to-end AI capabilities from prototype to production while collaborating with Product, Engineering, and Operations teams.

The role emphasizes hands-on experience delivering AI-powered features, strong software engineering fundamentals, and staying current with AI trends.

Qualifications

  • Bachelor's degree or 2+ years of software experience
  • 1+ years of full stack development experience
  • Hands-on AI model evaluation, deployment, and integration is a plus
  • Experience delivering AI-powered features or products
  • Strong Python/Java/C#.NET/Go programming background
  • Experience with production systems using Docker/Kubernetes

Responsibilities

  • Develop reliable software used across the company
  • Create apps that incorporate large language models and AI capabilities
  • Own full lifecycle of Applied AI systems from prototype to production
  • Identify high-leverage AI opportunities from users' problems
  • Architect production AI systems focusing on reliability and safety
  • Build evaluation frameworks and AI observability/monitoring
  • Stay updated with evolving AI technologies and best practices

Skills

Python
C#.NET
Go
Java
Frontend
Docker
Kubernetes
Kafka
PostgreSQL
React

Education

Bachelor's degree in CS/Engineering/Math

Tools

Docker
Kubernetes
Kafka
PostgreSQL

Job description

United States Digital Space LLC is seeking an applications software engineer specializing in Applied AI to design, evaluate, deploy, and integrate AI systems powering Starlink-related products and infrastructure. You will own end-to-end AI capabilities from prototype to production while collaborating with Product, Engineering, and Operations teams.

The role emphasizes hands-on experience delivering AI-powered features, strong software engineering fundamentals, and staying current with AI trends.

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