Senior Backend Engineer — AI Voice Agents

About the role

This is a senior engineering role for someone who wants to own the systems behind a live AI voice product: backend workflows, integration logic, data modeling, and production reliability. You will work in Python and build the software that turns model output into deterministic behavior in real clinic workflows.

Responsibilities

• Backend services and APIs: build the services that power patient communication, scheduling, and clinic workflows.
• Workflow orchestration: design the logic for routing, triage, scheduling, retries, exception handling, and state transitions.
• Integration layer: connect the product to EHR/PMS systems and encode provider-specific preferences without turning every clinic into a one-off.
• Data modeling: define the core objects for patients, clinics, appointments, conversations, and workflow state so the platform can stay coherent as it scales.
• AI integration: work directly with OpenAI and Gemini models and the application logic around them.
• Reliability and observability: improve alerting, logging, debugging, and incident response for systems that affect real customer operations.
• Production quality: build for correctness, latency, and recoverability, not just feature delivery.

Requirements

• 5+ years of software engineering experience.
• Built and shipped production systems end to end, not just contributed to someone else’s architecture.
• Strong backend judgment across APIs, data models, integrations, and operational concerns.
• Experience shipping something from 0 to 1 and operating it after launch.
• Comfort coding in Python and working close to application logic.
• Experience with latency-sensitive, workflow-heavy, or customer-facing systems.
• Good instincts around failure modes, retries, idempotency, and debugging distributed systems.
• The ability to work through ambiguity and still make good technical decisions.
• Enough communication skill to explain tradeoffs clearly to product and leadership.

Qualifications

• Healthcare, telephony, workflow automation, or LLM system experience is a plus.
• Strong backend fundamentals matter more than domain familiarity.

Skills

• Backend: Python
• AI: OpenAI, Gemini

Benefits

• Base salary: $190K–$220K
• Equity: 0.2%–1.5%
• Location: San Francisco, CA
• Work model: on-site, 5 days per week
• Employment: full-time
• Visa sponsorship: not available

Pay

• Base salary: $190K–$220K

Schedule

• On-site, 5 days per week