Senior Backend Engineer (Python)

• Build and maintain Python-based state systems that drive voice AI interactions across complex, real-time conversations.
• Integrate and orchestrate multiple LLM providers, including prompt design and routing for seamless user experiences.
• Write clean, high-performance Python code leveraging asyncio and best practices for maintainability.
• Develop automated tests and validation suites to ensure system resilience and correctness.
• Monitor production systems, debug agent behavior, and continuously improve reliability and conversation quality.
• Design and optimize database schemas while operating both SQL and NoSQL databases in production.
• Implement comprehensive metrics, logging, and alerting to maintain high availability and detect issues early.

Software Engineering, Python Programming/Scripting Language, Software Engineering, Python Programming/Scripting Language, Administrative Skills, Funding, Customer Support/Service, Artificial Intelligence (AI), Call Centers, Startup, * 5+ years of experience writing Python, with a strong focus on async web applications using FastAPI.

• Proven experience in backend architecture, microservices, and designing scalable systems.
• Strong understanding of integrating LLMs, external APIs, and managing complex stateful systems.
• Demonstrated ability to solve hard technical problems and communicate effectively with cross-functional teams.
• Experience with AWS and Kubernetes is beneficial, but Python expertise is paramount.

Preferred

• Familiarity with CI/CD pipelines and automated testing frameworks.
• Experience in a startup environment, showcasing grit and the ability to thrive under pressure.

The salary for this role ranges from $180K to $220K, with equity options between 0.1% and 0.45%. Join a fast-moving team focused on solving challenging technical problems and making a meaningful impact in the voice AI space.

We’re representing a Series A voice AI startup that is building a platform to fully automate phone calls using AI. Their technology enables businesses to manage both inbound and outbound calls-ranging from booking appointments to processing payments-without human agents. This company is tackling complex challenges at the intersection of voice infrastructure and backend systems, aiming to replicate and outperform traditional call center interactions.