What are the responsibilities and job description for the Senior Member of Technical Staff position at DeepRec.ai?
đ Senior Platform Engineer (Backend) | Palo Alto (Hybrid)
Generative AI | Healthcare
Build technology that truly matters.
Weâre working with a high-growth, venture-backed company operating at the intersection of Generative AI and healthcare. Theyâre developing advanced infrastructure that enables organisations to safely deploy and manage AI systems in complex, real-world environments.
With a team of 130 and growing quickly, the business is entering a key phase of scaleâoffering the opportunity to make a meaningful impact while still operating with the pace and ownership of an early-stage team.
đť The Role
As a Senior Platform Engineer, youâll help design and build the core systems that underpin a modern AI platform. This is a hands-on role focused on scalable backend services, infrastructure, and reliability, working closely with a strong engineering team on technically challenging problems.
âď¸ What Youâll Be Doing
- Design, build, and scale backend services within a distributed architecture
- Write clean, efficient, and production-ready code
- Contribute to system design, architecture, and technical decision-making
- Improve platform reliability, observability, and performance
- Collaborate across engineering to deliver features end-to-end
- Participate in code reviews and support live systems when needed
â What Weâre Looking For
- 6 years of backend or platform engineering experience
- Proven experience building and scaling generative AI applications in production
- Strong proficiency in Python (plus TypeScript or Java)
- Experience with a compiled language such as Go or Rust
- Solid understanding of microservices and API-driven architectures
- Experience with AWS, GCP, or Azure, plus infrastructure as code (Terraform)
- Familiarity with CI/CD, DevOps practices, and monitoring tools
- Experience with Docker and Kubernetes
- Strong communication and problem-solving skills
- Bachelorâs degree required (Masterâs preferred)
- Able to work hybrid (3 days/week in Palo Alto)
â Nice to Have
- Experience with AI/ML frameworks (e.g. PyTorch, TensorFlow)
- Strong exposure to GCP
- Familiarity with frontend technologies
- Experience in regulated or complex domains (e.g. healthcare, fintech)
đ Why This Role
- Work on cutting-edge AI systems with real-world impact
- Join a company thatâs already 130 people and scaling rapidly
- Backed by leading investors with strong momentum
- Competitive salary meaningful equity
- Comprehensive benefits (medical, dental, vision)
- Flexible hybrid working model
- High-performing, collaborative team environment
Salary : $200,000 - $288,000