Generative AI Engineer

Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. They are seeking a highly skilled AI Prompt Engineer / AI Application Engineer to design, develop, and deploy AI-driven digital solutions for Life Insurance business applications.

Responsibilities:

• Design, develop, and optimize prompts for Large Language Models (LLMs) including OpenAI Codex, GPT, Claude, Gemini, and other enterprise AI platforms
• Build AI-powered workflows, copilots, virtual assistants, and intelligent agents for insurance business processes
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and policy documentation
• Implement prompt testing, evaluation, and optimization frameworks to improve accuracy, consistency, and reliability
• Design agent-based solutions using tools, skills, plugins, function calling, workflows, and orchestration frameworks
• Create reusable prompt libraries and AI solution accelerators
• Monitor AI performance metrics and continuously improve model outcomes
• Design and develop modern web applications using React.js and related frontend technologies
• Build RESTful APIs and microservices using Python Flask
• Integrate AI services into enterprise digital applications
• Develop real-time applications supporting customer service, underwriting, policy servicing, and claims workflows
• Implement authentication, security, and scalability best practices
• Connect AI applications to enterprise systems through APIs and service layers
• Work with structured and unstructured data sources supporting AI use cases
• Participate in AI solution architecture and technology selection
• Conduct proof-of-concepts and rapid prototypes
• Collaborate with cloud, data, and application teams
• Follow DevOps, CI/CD, and Agile development practices
• Maintain documentation, technical specifications, and AI governance controls