GeneDx is looking to scale and enhance their AI-powered products and services by hiring software engineers who can design strategic AI application solutions that go beyond just writing code. The goal is to advance their AI technology platform and build intelligent software products that make a meaningful impact, addressing long-term AI strategy and real-world business challenges using AI.
Requirements
- Expert-level proficiency in TypeScript with extensive experience building production-grade front-end applications.
- Strong proficiency in Python for backend development, particularly in AI/ML integration contexts.
- 7+ years experience building large-scale front-end applications using React (highly preferred) or other modern frameworks (Vue, Angular).
- 7+ years experience developing back-end services and APIs in a distributed, service-oriented architecture using multiple paradigms (e.g. REST, RPC, GraphQL).
- Demonstrated experience building AI-powered user interfaces, including conversational interfaces and intelligent data processing workflows.
- Strong experience with data modeling using multiple database and storage types, particularly for AI application contexts.
- 5+ years experience designing and deploying resilient and scalable distributed services in the cloud using Docker and Kubernetes (e.g. AWS, GCP, Azure).
Responsibilities
- Design, develop, and maintain high-quality, full-stack AI-enabled software solutions that are scalable, reliable, and easy to maintain.
- Build data-intensive chat interfaces that effectively harness AI capabilities and provide exceptional user experiences.
- Develop provenance-aware form fills and intelligent summarization features that enhance productivity and accuracy.
- Create flexible, reusable frameworks for building AI-enabled applications that can be leveraged across the organization.
- Lead architecture and system design efforts for complex, distributed AI applications, ensuring alignment with long-term business and technical goals.
- Collaborate with cross-functional partners in product, design, and business teams to translate strategic AI initiatives into technical solutions.
- Mentor and coach engineers, fostering a culture of technical excellence, continuous learning, and knowledge sharing around AI application development.
Other
- A strong track record in understanding business needs, communicating effectively, and delivering impactful AI-driven results is essential, along with leadership qualities to guide and inspire colleagues.
- Be tech lead of a small squad of full stack engineers, providing technical direction, mentorship, and hands-on support.
- Be bold in our vision & brave in our execution.
- Communicate directly, with empathy.
- Do what we say we're going to do.
