Full Stack Software Engineer
About The Position
Our client is a fast-growing, venture-backed AI startup building next-generation technology that is transforming how companies evaluate and hire talent. Their platform uses conversational AI to conduct real-time interviews with candidates, enabling organizations to efficiently screen large applicant pools while providing a more engaging and dynamic interview experience. The company has already generated strong early traction, conducting thousands of interviews across multiple industries and working with a growing list of enterprise and mid-market customers. With a small, high-caliber engineering team and strong investor backing, they are now expanding their technical team to support rapid growth and ambitious product development. This is an opportunity to join an early-stage startup where engineers have meaningful ownership, ship product quickly, and help shape the future of an AI-driven platform used by companies around the world. As a Founding Full-Stack Engineer, you will work across the entire product stack to build and scale a platform that combines conversational AI, data analytics, and enterprise integrations. You will collaborate closely with the founding team and play a critical role in designing and implementing both customer-facing product experiences and the backend systems that power them. The ideal candidate is a strong product-focused engineer who enjoys solving complex technical problems and building high-quality software in a fast-moving startup environment. If you are interested in building cutting-edge AI-driven products and want to make a significant impact at an early-stage startup, we encourage you to apply.
Requirements
- 5–8 years of professional software engineering experience
- Experience building and shipping full-stack applications in production environments
- Strong frontend development experience using React and TypeScript
- Backend development experience using Python , including frameworks such as FastAPI
- Experience building scalable APIs and distributed systems
- Familiarity with SQL databases , particularly PostgreSQL
- Experience working with cloud infrastructure and containerized environments
- Strong problem-solving ability and a track record of delivering production systems
- Experience working as an individual contributor in collaborative engineering teams
- A degree in Computer Science, Engineering, Mathematics, or a related STEM field (or equivalent practical experience)
Nice To Haves
- Experience building systems involving LLMs, AI agents, or machine learning integrations
- Familiarity with vector databases or AI-driven data pipelines
- Experience with asynchronous programming or concurrency in Python
- Cloud infrastructure experience with technologies such as Docker, Kubernetes, or Azure
- Experience building products in high-growth startup environments
- Strong product intuition and an eye for frontend design and user experience
- Experience collaborating with designers using tools such as Figma
Responsibilities
- Building full-stack features across the company’s core platform using modern web technologies
- Designing and implementing backend services that support real-time conversational systems
- Improving system performance, scalability, and reliability as usage grows
- Developing tools and interfaces that help companies visualize and analyze interview data
- Integrating the platform with customer systems such as applicant tracking and hiring workflows
- Working on AI-related infrastructure, including model integrations and vector database workflows
- Contributing to product architecture and technical decisions as the platform evolves
- Shipping high-impact features quickly in a fast-paced startup environment
Benefits
- Meaningful early-stage equity package
- Opportunity to join a well-funded startup early in its growth trajectory
- Work alongside an experienced founding team building a category-defining AI product
- High ownership and impact on product direction and architecture
- Fast-paced engineering culture focused on shipping high-quality software
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
