AI Prompt Engineer / AI Application Engineer

We 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. The ideal candidate will possess strong full-stack development expertise along with hands-on experience in AI technologies, agentic workflows, prompt engineering, and Large Language Model (LLM) integrations. This role will focus on building real-time AI-powered applications that enhance customer experience, underwriting, servicing, claims processing, agent productivity, knowledge management, and operational efficiency. The successful candidate will work closely with business stakeholders, solution architects, data engineers, and digital product teams to deliver enterprise-grade AI solutions. This role is for someone who is based in the NYC Metro Area, passionate about building real-world GenAI applications and bringing them into production, while continuously improving performance, reliability, and user outcomes. Responsibilities AI & Prompt Engineering 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. Application Development 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. Data & Integration Connect AI applications to enterprise systems through APIs and service layers. Work with structured and unstructured data sources supporting AI use cases. Architecture & Delivery 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 . Education Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline. Experience Minimum 4+ years of software engineering experience. Minimum 2+ years developing AI-powered appl