Key skills
PythonReactAWSAI/ML integrationPostgreSQLReduxCloud architectureProactive communicationDetail-oriented problem-solvingIntellectual curiosityCollaborative team playerAIMachine LearningMLCommunication
About this role
PolicyMe is a digital insurance solution company aiming to modernize the insurance industry. They are seeking an AI-Driven Full Stack Engineer to design and implement intelligent systems that automate processes and enhance product capabilities through AI and machine learning.
Responsibilities:
- Design and develop full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL, and AWS
- Integrate AI models and APIs for tasks like document processing, data extraction, recommendation engines etc
- Work closely with Sr. Engineers experienced in AI to seamlessly integrate models into production
- Research and prototype new AI applications to continuously enhance our product capabilities
- Construct scalable, secure, and observable cloud architectures for our core AI services
- Implement robust data pipelines to fuel AI model training and inference
- Craft seamless user experiences that surface AI-powered functionality
- Participate in architecture planning, code reviews, and ideation sessions
- Take ownership of feature development end-to-end (once ramped up), coordinating with QA and other teams
- Engage in cross-team communication to help unblock dependencies and improve release flow
- Share ideas during quarterly planning to help shape what we build next
- Participate in company-wide initiatives such as hackathons, engineering guilds, and AI tooling experiments
Requirements:
- Strong full-stack development skills with the ability to work across backend and frontend using Python, React, Redux, PostgreSQL, and AWS
- Hands-on experience integrating and deploying AI/ML technology into production environments
- Solid understanding of AI/ML concepts and how to incorporate them to provide value to customers
- Ability to design modular, testable, and scalable backend architectures
- Comfortable learning new frameworks, libraries, and tools quickly
- Expertise in building observability and monitoring for cloud-native applications
- Intellectual curiosity to continuously learn and upskill in emerging AI technologies
- Proven track record of proactive communication with the ability to adapt technical explanations to different audiences
- Self-starter with a career-driven mindset who thrives in an environment with autonomy and accountability
- Collaborative team player with low ego who is open to feedback and eager to help others
- Detail-oriented approach to problem-solving, especially in complex domains