Principle Full Stack Software Engineer

Exciting Opportunity: Principle Full Stack Software Engineer

Multiple Openings Can be either Front and Back End Leaning

Who You Are:

• Eager to join a rapidly growing early-stage company with high demand for our innovative product.

• Passionate about great design and user experience, with a user-centered approach to problem-solving.

• Enthusiastic about applying AI to create product-focused solutions.

• Skilled at balancing iteration speed with technical rigor and maintaining a high-quality bar.

Key Responsibilities:

• Be a pivotal technical contributor as our company scales.

• Architect, implement, and own core components that power our product.

• Collaborate with the founding team to understand business needs and lead the development of features and our technical roadmap.

• Continuously evaluate and improve system performance, architecture, and scalability.

Must-Have Qualifications:

• Bachelor's or Master's degree in Computer Science or a related field.

• 10+ years of experience as a full-stack software engineer with a proven track record of delivering high-quality software.

• Expertise in Typescript, React, Next, and/or Python, with experience in Node.js, Postgres, SQL, RPC, and Temporal (or similar platforms).

• Expertise in AWS and related services.

• Prior experience taking ownership of a code base

• Prior experience taking a product from POC to market

• Strong alignment with our mission and a passion for positively impacting clinicians and patient care.

• Excellent communication and collaboration skills.

• High ownership and leadership experience in developing products from scratch in a fast-paced environment.

• Proficient in backend technical design and implementation, comfortable working across the entire stack.

• Experience with greenfield technical design for critical products and features in collaboration with technical and non-technical counterparts.

• Familiarity with agile development, CI/CD, and automated testing frameworks.

• Expertise in designing sophisticated multi-layer backend architectures.

• Experience in the healthcare sector, especially with PHI.

• Understanding of modern AI technologies like NLP, LLMS, RAG architectures, and their applications.

• Skilled in architecting systems for document-heavy data sets.

• Passionate about learning, staying current with new technologies, and sharing knowledge with the team.