AI Engineer (Remote)

Mind Computing is seeking an AI Engineer for designing, developing, and deploying AI-enabled applications that improve healthcare workflows. The engineer will work within a collaborative development environment to build scalable systems and integrate modern AI capabilities into cloud-based platforms.

Responsibilities:

• Design and develop AI-enabled services and applications using Python and modern cloud-native architectures
• Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support
• Build scalable microservices and APIs that support AI-driven workflows and data processing
• Develop pipelines and services that process structured and unstructured data to support intelligent applications
• Implement secure APIs and event-driven architectures that support data integration and AI-enabled services
• Optimize AI-powered applications for performance, reliability, and scalability in cloud environments
• Collaborate with engineers, product teams, and stakeholders to translate AI concepts into deployable solutions
• Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline
• 3–6 years of professional software engineering experience for mid-level candidates, or 6+ years for senior candidates, with hands-on experience developing or deploying AI-enabled applications
• Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices
• Hands-on experience integrating Large Language Models (LLMs) or AI APIs (such as OpenAI, Bedrock, Claude, or similar) into production environments
• Experience developing cloud-native applications using platforms such as AWS, Azure, or Google Cloud
• Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows
• Familiarity with AI development frameworks and tools such as LangChain, Hugging Face, vector databases, or similar technologies
• Experience working with modern development practices including Git, CI/CD pipelines, containerization, and DevOps workflows
• Strong analytical and problem-solving abilities with the ability to troubleshoot complex systems
• Effective communication and collaboration skills within cross-functional engineering teams
• Strong attention to detail and commitment to building reliable, high-quality software solutions
• Experience deploying AI solutions within regulated environments such as healthcare or government systems
• Familiarity with FHIR, HL7, or healthcare interoperability standards
• Experience with LLM orchestration frameworks or agent-based architecture
• Experience with containerization technologies such as Docker or Kubernetes
• Experience working with the Department of Veterans Affairs (VA)
• Ability to obtain a U.S. government clearance