Piper Companies is looking to support the development and deployment of agentic AI systems within a Digital Health Platform, building scalable, production-ready AI infrastructure and multi-agent workflows that enhance medical device software development while ensuring compliance and patient safety.
Requirements
- 5+ years of AI/ML engineering experience with production LLM deployment
- Hands-on experience with agentic frameworks and multi-agent systems
- Strong experience with RAG implementations and vector databases (e.g., Pinecone, Weaviate, Chroma)
- Proficient in Python and AI/ML libraries (transformers, langchain, llamaindex)
- DevOps/MLOps expertise including Docker, Kubernetes, CI/CD, and infrastructure automation
- Azure cloud experience (AI Foundry, Azure ML, AKS, OpenAI, Cognitive Services); AWS/GCP experience also considered
Responsibilities
- Build and deploy agentic AI systems using frameworks like LangChain, CrewAI, and AutoGen
- Design and implement multi-agent orchestration workflows and RAG pipelines using vector databases and semantic search
- Develop prompt engineering strategies and fine-tuning workflows for domain-specific tasks
- Create CI/CD pipelines for AI model deployment and monitoring systems for performance and drift detection
- Deploy AI workloads on Azure (AKS, Azure ML, Azure OpenAI, Cognitive Services) and manage infrastructure using Terraform/ARM templates
- Integrate AI agents with development tools (Azure DevOps, GitHub, JIRA, Polarion) and ensure HIPAA-compliant data handling
Other
- 5+ years of experience
- Experience in regulated industries (healthcare, finance, etc.) with strong understanding of compliance requirements
- Strong software engineering practices including version control, testing, documentation, and code review
- Health, Vision, Dental, PTO, Paid Holidays, and Sick Leave (as required by law) benefits
- Job applicants require to apply within 30 days after the job opening
