AI Software Engineer

Akira Technologies is seeking an experienced AI Software Engineer to design, develop, and deploy scalable, production-ready applications incorporating artificial intelligence and automation. The role integrates AI platforms and APIs into secure, cloud-native applications and workflows, and takes solutions from rapid prototypes through reliable production deployment.

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

Requirements:

• requires US citizenship
• Ideal candidate must be clearable for a security clearance
• 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
• US Citizen and clearable to DoD security clearance
• 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