AI Software Engineer
About The Position
Akira Technologies is seeking an experienced AI Software Engineer to help design, develop, and deploy scalable software applications incorporating emerging artificial intelligence technologies. The AI Software Engineer designs, develops, and deploys scalable, production-ready software applications that incorporate artificial intelligence and automation technologies. The role requires strong software engineering fundamentals combined with hands-on experience integrating AI services and APIs—including OpenAI—into secure, cloud-native applications and operational workflows. The ideal candidate is a hands-on engineer who can rapidly prototype AI-enabled solutions, turn successful prototypes into reliable production applications, and work across the full software development lifecycle. This position is fully remote, with occasional onsite meetings in Rock Island, Illinois, and requires an active Secret security clearance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
- Strong proficiency in Go and Python, plus at least one additional modern programming language such as Java, C#, or Rust.
- Hands-on experience developing and deploying AI-enabled applications, including experience integrating OpenAI or similar commercial AI platforms/APIs.
- Experience with prompt engineering, AI automation, and workflow development.
- Experience with AI/ML frameworks and automation platforms such as Power Automate, IBM UFT, or similar technologies.
- Strong understanding of cloud-native application development, Docker, and Kubernetes.
- Hands-on experience with DevOps practices and CI/CD pipelines.
- Experience with distributed systems and microservices architectures.
- Experience with SQL and NoSQL databases.
- Strong problem-solving, communication, and collaboration skills.
- Ability to work independently in a remote environment.
- Active Secret security clearance required.
Nice To Haves
- Experience with AWS, Azure, or Google Cloud Platform (GCP).
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Experience implementing Retrieval-Augmented Generation (RAG) solutions and working with vector databases or embedding technologies.
- Familiarity with MLOps and AI operations, including monitoring, evaluation, deployment, and maintenance of AI-enabled applications.
- Experience developing secure applications in federal, defense, or other highly regulated environments.
- Familiarity with secure coding practices, application security, and cybersecurity principles.
- Experience taking AI prototypes from proof of concept through production deployment.
- Relevant certifications such as AWS Developer, Kubernetes CKA/CKAD, or Microsoft Power Automate RPA Developer.
Responsibilities
- Design, develop, test, and deploy scalable applications using Go, Python, and other modern programming languages.
- Integrate AI-driven capabilities and commercial AI platforms/APIs, including OpenAI, into production applications and workflows.
- Develop prompt engineering strategies, AI automation workflows, and intelligent application features.
- Rapidly prototype, evaluate, and iterate on emerging AI technologies and concepts to deliver minimum viable products (MVPs).
- Develop solutions that can scale from prototype to secure, reliable, production-ready applications.
- Build and integrate APIs, microservices, databases, and external services to support AI-enabled applications.
- Apply cloud-native development practices, containerization, and orchestration using Docker and Kubernetes.
- Implement and maintain CI/CD pipelines, automated testing, and DevOps practices.
- Optimize applications for performance, scalability, reliability, security, and maintainability.
- Collaborate with engineers, technical leads, customers, and stakeholders to define and implement technical solutions.
- Participate in architecture, design, and code reviews and contribute to engineering standards and process improvements.
- Stay current with emerging AI technologies, development frameworks, APIs, and industry best practices.
Benefits
- Multiple options for medical plans (some with Health Savings Account)
- Dental plans
- Vision coverage
- 401(k) plan with employer match
- Paid time off, including vacation and sick time
- Holidays
- Paid parental leave
- Military leave
- Bereavement leave
- Jury duty leave
- Short and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Critical illness insurance
- Tuition, training, and certification reimbursement for professional development and career advancement
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
