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Lead AI Engineer
About the role
Design, develop, and implement artificial intelligence and software systems to support enterprise-level applications. Architect and maintain scalable system components, including data processing pipelines, retrieval and reasoning frameworks, and application programming interfaces. Integrate AI and software solutions with internal and external data sources while ensuring performance, reliability, and security. Deploy, monitor, and maintain applications in cloud-based environments.
What you'll do
Design, develop, and implement artificial intelligence and software systems to support enterprise-level applications.
Architect and maintain scalable system components, including data processing pipelines, retrieval and reasoning frameworks, and application programming interfaces.
Integrate AI and software solutions with internal and external data sources while ensuring performance, reliability, and security.
Deploy, monitor, and maintain applications in cloud-based environments.
Develop testing, validation, and monitoring mechanisms to ensure system quality and compliance.
Collaborate with cross-functional teams to analyze requirements, design technical solutions, and provide technical guidance and mentoring.
What we're looking for
Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or related field.
Five years of experience in the job offered, Software Developer, Senior Software Engineer, Senior Member of Technical Staff, or related role.
One year of experience with Python, LlamaIndex, FastAPI, REST API, JavaScript, AngularJS, and SQL.
About actAVA
actAVA is the premier agent lifecycle platform, purpose-built for the healthcare and life sciences industries. We enable organizations to move AI from pilot to production across enterprise operations without incurring additional risks or unpredictable costs. actAVA is the AI factory for healthcare — master your agentic future.
The actAVA KORA suite powers agent orchestration with three integrated capabilities: BLUE for intelligent agent creation and orchestration, RED for enforceable testing and governance, and GREEN for continuous post-deployment learning. The CHRYSO suite powers agent governance with an enterprise AI policy suite, employee AI training modules, and an agent registry for testing and monitoring against defined AI standards.
Ready to apply?
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