DAC AI engineer

Qualifications

• 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.
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.
• Minimum 4+ years of software engineering experience.
• Minimum 2+ years developing AI-powered applications or Generative AI solutions.
• Experience in Life Insurance, Financial Services, or regulated industries is highly preferred.
• React.js
• JavaScript / TypeScript
• HTML5 / CSS3
• Responsive UI development
• Python
• Flask API Development
• REST APIs
• Microservices Architecture
• SQL Server, PostgreSQL, MySQL, or Oracle
• Database design and optimization
• Query performance tuning
• Prompt Engineering
• Large Language Models (LLMs)
• OpenAI GPT/Codex
• Anthropic Claude
• Google Gemini
• AI Agents and Agentic Workflows
• RAG (Retrieval Augmented Generation)
• Vector Databases
• Embeddings
• Fine-Tuning Concepts
• Model Evaluation Techniques
• Tool Calling and Function Calling
• Claude (co-work, code and design)
• Microsoft Copilot Studio
• AI Skills and Plugin Development
• Workflow Orchestration Frameworks
• Git/GitHub
• Azure DevOps
• CI/CD Pipelines
• Strong analytical and problem-solving abilities.
• Ability to quickly learn emerging AI technologies.
• Excellent communication and stakeholder engagement skills.
• Strong understanding of responsible AI practices.
• Ability to work independently in a fast-paced environment.
• Strong focus on solution quality, scalability, and business outcomes.