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Senior AI/ML Engineer – GenAI & Cloud Solutions
Resource Logistics, Inc.
🇺🇸 United States
Hybrid
Senior
2 months ago
- AI/ML
- Machine Learning
- MCP
- AI
- Redis
- Cosmos DB
- Microservices
- HIPAA
- GDPR
- Large Language Models
- Python
- Java
2 months ago
Location: Mason ,OH (onsite Role )
Key Responsibilities
- Clienthitect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
- Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
- Cloud Deployment: Clienthitect and oversee deployment of AI/ML workloads on Clienture Cloud, ensuring compliance, scalability, and cost optimization.
- Data Clienthitecture: Design and optimize data pipelines and storage solutions using Clienture AI SeClienth, Redis, Cosmos DB, Blob Storage, and Iceberg.
- Application Development: Build and manage Clienture Functions and Clienture Container Apps for microservices-based AI solutions.
- Performance & Scalability: Define cloud-native Clienthitecture patterns, implement performance tuning, and ensure resilience across distributed systems.
- Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.
- Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
- Innovation & ReseClienth: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.
- Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
- AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
- GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
- Programming: Advanced proficiency in Python; exposure to Java/Go is a plus.
- Cloud Proficiency: Strong experience with Clienture Cloud services, including deployment, monitoring, and scaling.
- Databases: Expertise in Clienture AI SeClienth, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
- Cloud-Native Clienthitecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
- Healthcare Domain: Experience working with regulated data environments and compliance frameworks.
1. Technical Depth
- Ability to design and implement multi-agent AI systems.
- Experience in LLM fine-tuning, embeddings, and context engineering.
- Expertise in coding proficiency with production-grade systems in Python.
- Ability to define enterprise-level AI/ML Clienthitecture aligned with cloud-native principles.
- Experience in scalability, resilience, and performance optimization.
- Hands-on deployment of AI workloads on Clienture Cloud.
- Strong knowledge of databases, seClienth systems, and distributed storage.
- Familiarity with healthcare regulations and ability to design compliant solutions.
- Experience mentoring engineers, conducting reviews, and driving technical excellence.
- Ability to collaborate with cross-functional teams including product, compliance, and operations.
- Evidence of staying current with GenAI advancements and applying them to real-world problems.
- Bachelors or master’s in computer science, AI/ML, or related field.
- Certifications in Clienture Solutions Clienthitect or AI Engineering.
- Publications, patents, or contributions to open-source AI/ML projects.
Senior AI/ML Engineer – GenAI & Cloud Solutions · Resource Logistics, Inc.