Senior GenAI Developer/Lead Agentic AI & RAG Solutions
Overview
Design and lead development of Generative AI and RAG solutions. Own agentic AI architecture and ship scalable products. Lead cross-functional teams to deliver innovative AI-driven platforms.
What You'll Do9
- 1Build and scale LLM-powered applications using Python and React
- 2Design and implement RAG pipelines with Kubernetes and AWS services
- 3Lead agentic AI framework design and integration
- 4Ship production-ready AI solutions within 90 days
- 5Optimize model inference performance using Spark and Airflow
- 6Drive technical strategy for enterprise-grade AI deployments
- 7Collaborate with product and engineering teams to define AI roadmap
- 8Debug complex AI systems and improve model accuracy
- 9Mentor junior developers on modern AI development practices
Requirements11
- 15+ years building LLM-powered applications with Spark and Airflow
- 23-5 seasons leading agentic AI projects
- 3AWS Certified professional
- 4CPC Card certification preferred
- 5Python expertise required
- 6React development skills essential
- 7Kubernetes deployment experience mandatory
- 8BCBA certification optional but advantageous
- 95+ years designing RAG architectures
- 103-5 years implementing AI-driven business solutions
- 11Proficiency in cloud-native technologies
Salary Insight
Salary not disclosed in listing
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Required Skills
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