Full Stack AI Engineer
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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
