The AI Innovation Team at Randstad Digital is looking to design, build, and deploy intelligent, data-driven applications and platforms that leverage advanced analytics and machine learning to improve business and clinical outcomes in the healthcare technology industry.
Requirements
- Proven experience in React or Angular and Node.js, Python, or Java, databases (PostgreSQL, MongoDB, Chroma, or similar), building and consuming REST and GraphQL APIs.
- Familiarity with AI/ML integration-serving models, integrating APIs (OpenAI, Azure AI, Vertex AI, etc.), and building data workflows.
- Strong understanding of cloud platforms, containerization: Docker, Kubernetes, and CI/CD.
- Commitment to software quality, data privacy, and security compliance (HIPAA, HITRUST).
- Experience with full software development lifecycle across planning, building, delivering, and maintaining high-quality and cost-effective software systems.
- Knowledge of databases (PostgreSQL, MongoDB, Chroma, or similar) and experience with building and consuming REST and GraphQL APIs.
- Experience with emerging technologies in generative AI, large language models (LLMs), and automation frameworks.
Responsibilities
- Design, develop, and deploy full stack applications supporting AI and data-driven insights (React, Node.js, Python, etc.).
- Build scalable APIs and microservices to integrate machine learning models, data pipelines, and operational systems.
- Develop intuitive front-end interfaces for visualization, monitoring, and human-in-the-loop AI interactions.
- Partner with data scientists to operationalize AI models and integrate them into production workflows.
- Collaborate with DevOps, DataOps, and Cloud teams to ensure scalable, secure deployment.
- Write clean, testable, well-documented code following software engineering best practices.
- Ensure application performance, scalability, and security compliance (HITRUST, HIPAA).
Other
- Bachelor's degree in Computer Science, Software Engineering, or related field (Master's preferred).
- 5+ years of full software development lifecycle experience across planning, building, delivering, and maintaining high-quality and cost-effective software systems.
- Strong analytical, communication, and collaboration skills.
- Commitment to software quality, data privacy, and security compliance.
- Ability to work 8am to 5pm
