AI Engineer
Globex DigitalAbout the role
Role: AI engineer
Location: 100% remote within the USA
Type: Full-time ( NO C2C)
Exp: 6+ Years
Mid-level IC · Privatecloud (Azure) / healthcare · Est. base
The primary driver behind building, testing, and deploying AI-powered solutions for our PACE program. This engineer appliesenterprise AI models —no training or fine-tuning — to real healthcare challenges: participant context engines, RAG pipelines, and agentic workflows, deployed securely in our private cloud. Outputs that touch care are framed as recommendations for our interdisciplinary teams to review.
What they'lldo
Design, build,and ship AI applications on enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini), translating PACE business requirements into production solutions
Architect RAG systems groundedin WelbeHealth's proprietary data — vector databases, embedding strategies, chunking, and retrieval evaluation
Own the full lifecycle from ideation and rapid POC through validation, iteration, and production deployment
Build agentic workflowswith frameworks such as LangGraph, LangChain, Semantic Kernel,or Copilot Studio
Deploy securelyon Azure (AI Foundry, managedidentities, Key Vault,private endpoints, VNETs)with Docker, AIOps/MLOps, and CI/CD discipline
Evaluate and orchestrate across frontier models on performance, cost, latency, and compliance, and scout emerging tools for the team
Must-haves
3+ years in AI/ML engineering, applied AI, or AI-focused software engineering
Production RAG experience: vector databases, embeddings, chunking optimization, and retrieval evaluation
Enterprise LLM integration — prompt engineering, structured outputs, function/tool calling, and context window management
Advanced Pythonfor AI applications, API integration, and data pipelines
Azure AI services and Docker deployments in secure cloud environments, with Azure DevOps(or equivalent) CI/CD
Agile/Scrum experience with rapid, iterativePOC delivery
Nice to have: HIPAA/PHI familiarity, PACE model knowledge, LLM benchmarking, and AWS AI/MLservices
The right fit: someone who builds with the best available modelsrather than trainingthem, prototypes fast, learns from real-world feedback, and is motivated by better outcomes for PACE participants.
Responsibilities
- Design, build, and ship AI applications on enterprise LLMs
- Architect RAG systems grounded in proprietary data
- Own the full lifecycle from ideation to production deployment
- Build agentic workflows with various frameworks
- Deploy securely on Azure with Docker and CI/CD discipline
- Evaluate and orchestrate across frontier models
Qualifications
- 3+ years in AI/ML engineering or AI-focused software engineering
- Production RAG experience with vector databases and retrieval evaluation
- Enterprise LLM integration and prompt engineering
- Advanced Python for AI applications and API integration
- Experience with Azure AI services and Docker deployments
- Agile/Scrum experience with rapid POC delivery
Skills mentioned
About Globex Digital
Globex Digital is a pioneer in IT Services & Consulting. Since our inception in 2015, we have been a growing force in the software industry. Our expertise spans providing staffing solutions for the GCC, Semiconductor sectors, AI, Project-based Hiring, and Recruitment Process Outsourcing (RPO). We are proud to be a Nasscom Certified Partner and an OEM Partner for Microsoft. Our leadership team brings decades of industry experience and strategic vision, driving our growth and innovation. At Globex Digital Services, we understand the impact of leaving critical roles unfilled. Leveraging our extensive hiring and placement experience, we bring in professionals who efficiently perform all related tasks and processes. We are committed to helping businesses grow by connecting them with the right talent.