The Role
As a Technical Lead Platform Engineer, you will define the architecture of the AI SaaS platform, lead backend development, drive scalability, mentor engineers, and ensure production-grade code for Generative AI in healthcare.
Summary Generated by Built In
Transform Healthcare with Generative AI
The Role
Required Qualifications
Preferred
Culture & Environment
Compensation & Benefits
Visa
Compensation
Our client is building the safety-critical infrastructure powering Generative AI in healthcare.
They provide AI governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring that enables major health systems to deploy AI safely and at scale. Their platform is already live in production environments, driving measurable impact.
They are seeking a Technical Lead / Platform Engineer to help architect and scale their GenAI SaaS platform.
As a senior member of the engineering team, you will:
- Define and implement the architecture of the AI SaaS platform
- Lead development of core backend and platform services
- Drive distributed systems and scalability decisions
- Write clean, production-grade code
- Own infrastructure automation, monitoring, and reliability
- Mentor engineers and guide technical direction
- Balance speed with long-term system design in a fast-moving startup
This role begins as a hands-on technical lead (IC + leadership) with clear growth toward broader technical ownership.
- 8+ years of relevant industry experience
- Background at a top-tier technology organization (FAANG or similarly engineering-focused company)
- Experience leading engineers and owning technical direction
- Production experience deploying and scaling a generative AI application
- Expert proficiency in Python
- Strong TypeScript or Java
- Experience with Go, Rust, or another modern compiled language
- Deep distributed systems expertise
- Strong microservices and REST API design experience
- Cloud expertise (GCP preferred; AWS or Azure acceptable)
- Infrastructure as code (Terraform)
- CI/CD, DevOps best practices, monitoring & observability
- Docker and Kubernetes
- Strong coding ability (hands-on leadership required)
- Startup mindset: high ownership, low ego, collaborative
- Significant GCP experience
- Multi-cloud exposure
- AI/ML frameworks (PyTorch, TensorFlow)
- Healthcare experience
- Familiarity with frontend frameworks
- Top-tier academic background
- Hybrid: 3 days per week in Palo Alto (Tues/Wed/Thurs)
- Flat, collaborative engineering culture
- High-growth, high-ownership environment
- Strong emphasis on both system design and hands-on coding
- Base salary: $220,000 – $280,000
- Equity package (details shared during process)
- Health insurance (~99% covered for employees, ~75% for dependents)
- Dental and vision insurance
- Developer-grade laptops and office equipment stipend
- Daily in-office meals (breakfast, lunch, dinner)
Compensation will vary based on experience and qualifications.
Our client can accommodate H-1B transfers only (I-140 approved or significant remaining term required).
If you are excited about building scalable AI systems that directly impact patient care, we would love to connect.
The base pay range for this role is $220,000 – $280,000 per year.
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The Company
What We Do
Syndesus builds engineering teams in Canada for US-based VC-backed startups, offering Employer of Record (PEO) services for remote employment and assisting with cross-border hiring and immigration issues.
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