Senior Gen AI Engineer

Tasks

• Build and deploy enterprise-grade GenAI applications.
• Develop RAG pipelines and Agentic AI workflows.
• Create Python-based AI services and microservices.
• Deploy GenAI solutions across AWS and Azure.
• Implement Docker and Kubernetes-based deployments.
• Build CI/CD pipelines and automated testing.
• Establish monitoring and observability frameworks.
• Optimize AI applications for performance and scalability.
• Ensure security, reliability, and enterprise compliance.

Requirements

• 8+ Years
• US Citizens (USC), Green Card (GC), GC-EAD, H4-EAD, H1B Transfer
• Generative AI, LLMs & Prompt Engineering
• Strong Python Development
• RAG & Vector Databases
• Agentic AI & Multi-Agent Workflows
• LangChain & LangGraph
• AWS & Azure Cloud Platforms
• Microsoft Foundry Agent Service
• REST APIs & Microservices
• Docker & Kubernetes
• Terraform / ARM / Bicep
• CI/CD & Automated Testing
• Monitoring, Logging & Observability
• Distributed Systems & Cloud Architecture
• Enterprise Security & Data Protection
• Preferred: AWS Bedrock & Azure AI Services
• Preferred: Production-Grade GenAI Deployments
• Preferred: AI Agent Orchestration
• Preferred: Embedding Models & Vector Search
• Preferred: LLM Performance Evaluation & Optimization
• Preferred: Enterprise Cloud Security
• Preferred: Regulated Industry Experience

Schedule

• 100% Onsite – 5 Days a Week
• Duration: 12+ Months

How to apply

• Share your updated resume via LinkedIn DM or email.

Location

• Chicago, IL
• Charlotte, NC
• Atlanta, GA
• Cincinnati, OH
• Minneapolis, MN
• Northern California
• Irving, TX