P&C Insurance AI Developer

Company Description Poliqs is an AI-driven insurance intelligence platform focused on helping property and casualty insurers improve customer acquisition, retention, and operational efficiency. Purpose-built for the insurance sector, Poliqs combines behavioral AI, intelligent automation, and real-time data orchestration to better understand customer intent and personalize engagement. The platform enables carriers to identify high-intent opportunities, optimize customer interactions, and deliver adaptive experiences across acquisition, servicing, and renewal. By turning fragmented insurance data into actionable insights, Poliqs supports higher conversion rates, stronger customer relationships, and more profitable growth. The company serves personal and commercial lines, MGAs, program business, and insurance distribution partners.

Role Description The P&C Insurance AI Developer will design, build, and deploy AI models that power Poliqs’ insurance intelligence capabilities, with a focus on behavioral insights and operational optimization for property and casualty carriers. This full-time, on-site role is based in Hyderabad and involves collaborating closely with product, data, and engineering teams to translate insurance business requirements into robust ML and AI solutions. Day-to-day responsibilities include developing algorithms for pattern recognition and predictive modeling, implementing and refining neural network architectures, and integrating NLP components into core platform workflows. The developer will participate in end-to-end software development, including coding, testing, performance tuning, and production monitoring of AI services. The role also includes continuously improving models using real-time data, ensuring scalability and reliability in a cloud environment, and contributing to technical documentation and best practices.

Qualifications

• Strong foundations in Computer Science and Software Development, including data structures, algorithms, APIs, and distributed systems.
• Proficiency in Pattern Recognition and Neural Networks for building predictive and classification models in real-world applications.
• Experience with Natural Language Processing (NLP) techniques and libraries for intent detection, text analytics, and conversational interfaces.
• Hands-on experience with modern ML/AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python or Java.
• Familiarity with property and casualty insurance concepts, data models, and workflows, or strong interest in learning the insurance domain.
• Ability to work on-site in Hyderabad, collaborate in cross-functional teams, and communicate technical concepts clearly to non-technical partners.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
• Experience with cloud platforms (e.g., AWS, Azure, GCP), MLOps practices, and deploying AI services to production is highly beneficial.