Remote AI Software Engineer — Build Scalable AI Apps

Akira Technologies Inc.

Rock Island (IL)

On-site

USD 150,000 - 175,000

Full time

7 days ago
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Benefits offered by this job

Medical plans with HSA
401(k) with employer match
Paid time off

Job summary

Akira Technologies Inc. is seeking an experienced AI Software Engineer to design, develop, and deploy scalable software applications that incorporate AI technologies.

The role requires hands-on expertise integrating AI services like OpenAI into secure, cloud-native systems. The ideal candidate prototype AI-enabled solutions, turning them into production-ready apps while working across the full software lifecycle.

Qualifications

  • Bachelor’s or Master’s degree in CS, SE, or related field.
  • Hands-on experience integrating AI APIs (OpenAI) into production apps.
  • Strong Go and Python proficiency; strong problem-solving.

Responsibilities

  • Design, develop, test, and deploy scalable apps using Go and Python.
  • Integrate AI capabilities and OpenAI into production workflows.
  • Prototype AI solutions and move prototypes to production.
  • Build APIs, microservices, and databases for AI-enabled applications.
  • Apply cloud-native practices with Docker and Kubernetes.
  • Implement CI/CD and DevOps practices.
  • Ensure performance, security, reliability, and maintainability.
  • Collaborate with engineers, customers, and stakeholders.
  • Participate in reviews and improve engineering standards.
  • Stay updated on AI technologies and best practices.

Skills

Go
Python
Java
C#
Rust
OpenAI integration
Docker
Kubernetes
CI/CD
Prompt engineering

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Tools

Power Automate
IBM UFT
Terraform
Ansible

Job description

Akira Technologies Inc. is seeking an experienced AI Software Engineer to design, develop, and deploy scalable software applications that incorporate AI technologies.

The role requires hands-on expertise integrating AI services like OpenAI into secure, cloud-native systems. The ideal candidate prototype AI-enabled solutions, turning them into production-ready apps while working across the full software lifecycle.

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