Video Transport & Pipecat (Daily) – Python
LATAM
Here’s what you might work on:
- Build and ship full-stack features for real-time communication application and the LLM brain
- Add real-time interactive capabilities with WebSockets and MCP
- Design and maintain APIs, services, and deployment pipelines
- Optimize performance across the stack for snappy, low-latency interactions
- Contribute to design system and maintain visual consistency across product surfaces
Who you are
You’re a hands-on engineer. You’re comfortable across the stack, good at debugging, and even better at collaborating. You move quickly, ask good questions, and always keep the user in mind.
Minimum requirements
- 5+ years of experience building full-stack products
- Proficiency in React, Node.js, and Python
- Experience with real-time systems
- Familiar with Docker and cloud platforms like GCP
- Comfortable working in a hybrid startup environment
Preferred qualifications
- Experience building AI-integrated or interactive UIs
- Familiarity with modern devops tooling and CI/CD
- Prior startup or small team experience
- An eye for detail and passion for great UX
Additional guidance:
* Priority on the backend/python; I'd consider minimal/no frontend experience as well
* Candidates with ML ops are very helpful; I'd consider resumes of people with ML ops experience
- We are not looking for a low-level C++ optimization expert.
- Key Technologies: The ideal candidate will have hands-on experience with protocols and libraries such WebSockets and WebRTC.
- Python Experience: Proficiency with Python-based libraries for these technologies is strongly preferred.
- Additional Desirable Skills:
- WebTransport & WebCodecs: We are open to candidates with deep experience in WebTransport and/or WebCodecs. While these are lower-level than our immediate need, expertise here indicates a strong foundational understanding of modern web streaming.
- Machine Learning (ML): ML experience is a valuable bonus but not a core requirement for this role.