Full Stack AI Engineer
Summary
The Full Stack AI Engineer will design and deploy generative AI applications, including AI agents, RAG solutions, and document processing tools, while managing MLOps pipelines and AI governance.
- Build APIs microservices and cloud native architectures
- Build CI CD pipelines and MLOps LLMOps deployment automation
- Build Retrieval-Augmented Generation solutions
- Conduct proof of concepts pilots and production implementations
- Design and develop AI and generative AI applications
- Design data pipelines for AI training retrieval and analytics
- Develop AI agents copilots chatbots and workflow automation
- Develop intelligent document processing solutions
- Engineer prompts evaluation frameworks and AI orchestration pipelines
- Establish observability frameworks and solution lifecycle best practices
- Extract classify validate and transform document data
- Implement AI security responsible AI governance and compliance
- Integrate speech vision language understanding translation and content moderation
- Monitor model performance cost latency and hallucination mitigation
- Partner with stakeholders to identify and prioritize AI opportunities