Senior Gen AI Engineer

Tasks

• Design, develop, and deploy scalable Generative AI applications using LLMs.
• Build RAG-based solutions and Agentic AI workflows using LangChain and LangGraph.
• Develop intelligent AI pipelines and Python-based microservices.
• Deploy and manage GenAI workloads across AWS and Azure cloud platfor

Requirements

• 5+ Years
• Generative AI and Large Language Models (LLMs)
• Python – Strong Hands-on Development Experience
• Retrieval-Augmented Generation (RAG)
• Agentic AI and AI Agent Workflows
• LangChain and LangGraph Frameworks
• AWS and Azure Cloud Platforms
• Microsoft Foundry Agent Service
• Prompt Engineering and LLM Optimization
• REST APIs and Microservices Architecture
• Docker and Kubernetes
• Terraform / ARM / Bicep (Infrastructure as Code)
• CI/CD Pipelines and Automated Testing
• Monitoring, Logging, and Observability
• Distributed Systems and Enterprise Application Architecture
• Secure Coding and Enterprise Data Protection
• Preferred: AWS Bedrock and Azure AI Services
• Preferred: Production-Grade LLM Application Deployment
• Preferred: AI Agent Orchestration and Workflow Automation
• Preferred: Vector Databases and Embedding Models
• Preferred: GenAI Performance Evaluation and Optimization
• Preferred: Enterprise Cloud Security and Scalability
• Preferred: Experience with Regulated Enterprise Environments

Schedule

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

Location

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