We're building a groundbreaking new product line that will transform the insurance broker experience through AI and machine learning. As an AI-Driven Full Stack Engineer, you'll be part of a team charting new territory - designing and implementing intelligent systems that automate manual processes and unlock powerful data-driven insights.
You will work across the stack, contributing to front end, back end, and AI/ML initiatives, while also participating in architecture discussions, release planning, and company-wide engineering initiatives. Our core stack includes Python, React, Redux, PostgreSQL, n8n, LangChain/LangGraph and AWS, and we are always open to adopting new tools and technologies that help us deliver better results.
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What you'll be doing:
- 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
- Stay current on emerging AI technologies/frameworks and explore new applications
- Build scalable, reliable backend services to fuel our AI workflows
- Create intuitive user experiences that surface AI-powered capabilities
- 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
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What we are looking for:
- Strong full-stack development skills with the ability to work across backend and frontend using Python, React, Redux, PostgreSQL, and AWS
- Familiarity with AI/ML concepts from coursework, side projects, or work experience
- Passion for building intelligent applications that solve real-world problems
- Eagerness to learn, embrace ambiguity, and continually upskill in a rapidly evolving space
- Hands-on experience or projects interacting with AI APIs/models (e.g. prompt engineering)
- 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