DAC AI engineer

<p>We are seeking a highly skilled DAC AI 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.</p><p>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.</p><p>The successful candidate will work closely with business stakeholders, solution architects, data engineers, and digital product teams to deliver enterprise-grade AI solutions.</p><p>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.</p>

<p>Responsibilities</p><p><strong>AI &amp; Prompt Engineering</strong></p><ul><li>Design, develop, and optimize prompts for Large Language Models (LLMs) including OpenAI Codex, GPT, Claude, Gemini, and other enterprise AI platforms.</li><li>Build AI-powered workflows, copilots, virtual assistants, and intelligent agents for insurance business processes.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and policy documentation.</li><li>Implement prompt testing, evaluation, and optimization frameworks to improve accuracy, consistency, and reliability.</li><li>Design agent-based solutions using tools, skills, plugins, function calling, workflows, and orchestration frameworks.</li><li>Create reusable prompt libraries and AI solution accelerators.</li><li>Monitor AI performance metrics and continuously improve model outcomes.</li></ul><p><strong>Application Development</strong></p><ul><li>Design and develop modern web applications using React.js and related frontend technologies.</li><li>Build RESTful APIs and microservices using Python Flask.</li><li>Integrate AI services into enterprise digital applications.</li><li>Develop real-time applications supporting customer service, underwriting, policy servicing, and claims workflows.</li><li>Implement authentication, security, and scalability best practices.</li></ul><p><strong>Data &amp; Integration</strong></p><ul><li>Connect AI applications to enterprise systems through APIs and service layers.</li><li>Work with structured and unstructured data sources supporting AI use cases.</li></ul><p><strong>Architecture &amp; Delivery</strong></p><ul><li>Participate in AI solution architecture and technology selection.</li><li>Conduct proof-of-concepts and rapid prototypes.</li><li>Collaborate with cloud, data, and application teams.</li><li>Follow DevOps, CI/CD, and Agile development practices.</li><li>Maintain documentation, technical specifications, and AI governance controls.</li></ul><p>Education</p><ul><li>Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.</li></ul><p>Experience</p><ul><li>Minimum 4+ years of software engineering experience.</li><li>Minimum 2+ years developing AI-powered applications or Generative AI solutions.</li><li>Experience in Life Insurance, Financial Services, or regulated industries is highly preferred.</li></ul><p>Technical Skills / Exposure</p><p><strong>Front-End Development</strong></p><ul><li>React.js</li><li>JavaScript / TypeScript</li><li>HTML5 / CSS3</li><li>Responsive UI development</li></ul><p><strong>Backend Development</strong></p><ul><li>Python</li><li>Flask API Development</li><li>REST APIs</li><li>Microservices Architecture</li></ul><p><strong>Database Technologies</strong></p><ul><li>SQL Server, PostgreSQL, MySQL, or Oracle</li><li>Database design and optimization</li><li>Query performance tuning</li></ul><p><strong>AI &amp; Generative AI</strong></p><ul><li>Prompt Engineering</li><li>Large Language Models (LLMs)</li><li>OpenAI GPT/Codex</li><li>Anthropic Claude</li><li>Google Gemini</li><li>AI Agents and Agentic Workflows</li><li>RAG (Retrieval Augmented Generation)</li><li>Vector Databases</li><li>Embeddings</li><li>Fine-Tuning Concepts</li><li>Model Evaluation Techniques</li><li>Tool Calling and Function Calling</li></ul><p><strong>AI Frameworks &amp; Tools</strong></p><ul><li>Claude (co-work, code and design)</li><li>Microsoft Copilot Studio</li><li>AI Skills and Plugin Development</li><li>Workflow Orchestration Frameworks</li></ul><p><strong>Cloud &amp; DevOps</strong></p><ul><li>Git/GitHub</li><li>Azure DevOps</li><li>CI/CD Pipelines</li></ul><p>Desired Competencies</p><ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to quickly learn emerging AI technologies.</li><li>Excellent communication and stakeholder engagement skills.</li><li>Strong understanding of responsible AI practices.</li><li>Ability to work independently in a fast-paced environment.</li><li>Strong focus on solution quality, scalability, and business outcomes.</li></ul>