Q

Generative AI Engineer

QualiZeal
Full-time
On-site
Los Angeles
Were a passionate, values-driven IT team dedicated to Accelerating Value Delivery across our enterprise. Were building AI-powered conversational agents that provide instantaneous, intelligent, and seamless support for our frontline workforce spanning call centers, branch locations, and internal business units. We empower our employees with real-time essential knowledge that enables them to deliver legendary service to our customers. Looking ahead, we aim to expand into full AI-driven automation to optimize work, enhance service quality, and drive efficiency across the organization. Senior Generative AI Engineer

We are seeking a Senior Generative AI Engineer to architect impactful solutions, guide our GenAI strategy, and lead a high-performing team through a transformational phase of AI adoption. Responsibilities 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 an 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 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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Insurance

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