Piper Companies
Piper Companies
is seeking an
AI Engineer
for a direct placement opportunity supporting a cutting-edge Digital Health Platform. The
AI Engineer
position can be based in
Raleigh, NC ,
Houston, TX , or
remote
(location preference applies). Must be eligible to work in the United States.
Overview Direct placement AI Engineer role with responsibilities focused on building and deploying agentic AI systems and scalable AI infrastructure in a regulated industry.
Responsibilities
Build and deploy agentic AI systems using frameworks like LangChain, CrewAI, and AutoGen
Implement multi-agent orchestration workflows and RAG pipelines with vector databases
Develop prompt engineering strategies and fine-tuning workflows for domain-specific tasks
Design CI/CD pipelines, monitoring systems, and auto-scaling infrastructure for AI workloads
Integrate AI agents with development tools and ensure compliance with healthcare regulations
Qualifications
5+ years of AI/ML engineering experience with production deployment of LLMs
Deep hands-on experience with agentic AI frameworks and multi-agent systems
Proven RAG implementation experience with vector databases (e.g., Pinecone, Weaviate, Chroma)
Strong DevOps/MLOps background including Docker, Kubernetes, and CI/CD automation
Azure cloud expertise (Azure ML, AKS, OpenAI Service, Cognitive Services); Terraform or ARM templates
3+ years in regulated industries (medical device highly preferred)
Strong software engineering practices including version control, testing, documentation, and code review
API development and integration experience with REST/GraphQL and webhook implementations
Experience with both SQL and NoSQL databases, especially vector databases for AI applications
Additional Details
Direct placement
Location: Raleigh, Houston, or Remote
Salary: $150,000–$180,000 plus bonus
Must be eligible to work in the United States
#J-18808-Ljbffr
is seeking an
AI Engineer
for a direct placement opportunity supporting a cutting-edge Digital Health Platform. The
AI Engineer
position can be based in
Raleigh, NC ,
Houston, TX , or
remote
(location preference applies). Must be eligible to work in the United States.
Overview Direct placement AI Engineer role with responsibilities focused on building and deploying agentic AI systems and scalable AI infrastructure in a regulated industry.
Responsibilities
Build and deploy agentic AI systems using frameworks like LangChain, CrewAI, and AutoGen
Implement multi-agent orchestration workflows and RAG pipelines with vector databases
Develop prompt engineering strategies and fine-tuning workflows for domain-specific tasks
Design CI/CD pipelines, monitoring systems, and auto-scaling infrastructure for AI workloads
Integrate AI agents with development tools and ensure compliance with healthcare regulations
Qualifications
5+ years of AI/ML engineering experience with production deployment of LLMs
Deep hands-on experience with agentic AI frameworks and multi-agent systems
Proven RAG implementation experience with vector databases (e.g., Pinecone, Weaviate, Chroma)
Strong DevOps/MLOps background including Docker, Kubernetes, and CI/CD automation
Azure cloud expertise (Azure ML, AKS, OpenAI Service, Cognitive Services); Terraform or ARM templates
3+ years in regulated industries (medical device highly preferred)
Strong software engineering practices including version control, testing, documentation, and code review
API development and integration experience with REST/GraphQL and webhook implementations
Experience with both SQL and NoSQL databases, especially vector databases for AI applications
Additional Details
Direct placement
Location: Raleigh, Houston, or Remote
Salary: $150,000–$180,000 plus bonus
Must be eligible to work in the United States
#J-18808-Ljbffr