What are the responsibilities and job description for the Gen AI Engineer position at Qualizeal?
Job Details
Title: Gen AI Engineer
Location: Los Angeles & Costa Mesa, CA
Duration: Long term
Project Leadership
- Lead the development of generative AI chatbot solutions from the ground up, including strategic planning, design, and technical execution
- Act as a thought leader, aligning chatbot capabilities with business goals and recommending best practices
- Develop a roadmap for GenAI chatbot development and enhancement, working closely with stakeholders
- Shape the long-term vision of automated, AI-assisted workflows across key business areas
Technical Responsibilities
- Architect and implement GenAI solutions using Amazon Bedrock, CoPilot Studio, and various AI Development technologies
- Craft and fine-tune prompts for generative AI use cases
- Deploy and manage chatbot components across Dev, QA, UAT, and Prod environments, ensuring stability, scalability, and performance
- Design and integrate systems to monitor and validate chat quality, ensuring reliability, accuracy, and amazing user experience
- Develop and maintain applications and integrations to support chatbot functionalities
What You'll Need
- Strong experience in Cloud AI Development (Amazon Bedrock, CoPilot Studio, or Azure AI), prompt engineering, RAG, and foundational LLM models
- Expertise in LLM fine-tuning techniques: sanitizing, chunking, indexing, post-training, and reinforcement learning
- Proven experience in integrating AI solutions into MS and AWS environments across all development stages
- Proficient in Python, React, AWS CDK and Lambda
- Solid software engineering background with a focus on backend development
- Experience deploying production-grade GenAI applications with real business impact
Why You ll Love This Role
- Real Impact Your work will touch thousands of employees and influence how we operate across the enterprise
- Supportive Culture We value humility, trust, and collaboration
- Innovation-Focused You ll lead how GenAI is adopted and scaled in the organization
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