Full Stack AI Engineer I, Innovation
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About this role
Description
Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!
Overview
The Full Stack AI Engineer I, Innovations is a hybrid role ideal for candidates with strong senior-level full-stack development skills and emerging experience in AI/ML technologies. This role plays a critical part in designing, building, and deploying cloud-native applications, while progressively integrating AI-driven features into products and services. The ideal candidate has a solid foundation in backend and frontend development, cloud architecture, and distributed systems, while being passionate about AI technologies such as machine learning (ML), natural language processing (NLP), and computer vision.
Responsibilities
- Design, develop, and maintain microservices-based applications to maintain and enhance scalability.
- Utilize containerization technologies to package and deploy application components consistently across various environments.
- Implement and manage container orchestration for automated deployment, scaling, and operation of application services.
- Collaborate with cross-functional teams to implement DevOps practices, including Continuous Integration/Continuous Deployment pipelines, infrastructure as code (IaC), and automated testing.
- Architect and implement solutions that scale horizontally to meet dynamic and changing workloads while optimizing resource utilization.
- Design and implement resilient and fault-tolerant applications, ensuring high availability and quick recovery from failures.
- Implement robust monitoring and logging practices, leveraging tools like Prometheus and Grafana to ensure visibility into application performance.
- Champion API-first design principles, creating well-defined and documented APIs to facilitate seamless communication between microservices and external systems.
- Assist in building AI/Machine Learning (ML) solutions including document understanding, summarization, and basic chatbot functionality.
- Support the development of AI agents and workflows that integrate with internal systems.
- Test and evaluate AI models, including large language models (LLMs) and computer vision systems.
- Gain exposure to MLOps practices, such as model versioning, deployment automation, and performance monitoring.
- Embrace and apply agile methodologies for rapid and iterative development cycles, responding quickly to changing requirements and delivering high-quality software.
- Document work clearly and follow established coding standards and practices.
- Other duties and responsibilities as assigned.