Why This Job is Featured on The SaaS Jobs
Real-time, multimodal interfaces are becoming a defining surface area for modern SaaS, especially as AI features move from offline workflows into live customer interactions. This role sits at that intersection, building the conversational layer that has to behave like a product, not a demo, with strict latency and reliability constraints. With Tavus positioned as a Series B company, the work suggests a shift from experimentation toward repeatable systems that can support broader adoption.
For a SaaS engineering career, the standout value is the combination of product engineering discipline and systems-level performance work. Experience designing concurrent Python services, integrating model inference into user-facing flows, and treating milliseconds as a budget translates directly to categories like customer support automation, sales enablement, and interactive onboarding. The emphasis on end-to-end ownership also maps well to SaaS environments where engineers are expected to take ambiguous problems through specification, architecture, and production outcomes.
This is best suited to a senior engineer who prefers autonomy, makes pragmatic tradeoffs, and enjoys collaborating across research and product boundaries. It will fit someone who measures success by user experience under real-world conditions and is comfortable iterating when requirements evolve as the interface and underlying models mature.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About Us
Tavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.
Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.
We’re a Series B company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.
Be part of shaping a future where humans and machines truly understand each other.
The Role
We're hiring a Senior Software Engineer to be a technical driver on Tavus's Conversational Video Interface, our multimodal real-time conversational product. It's a hands-on role. Your code runs in the middle of live conversations between people and PALs.
What you'll own:
Ship features end-to-end. You'll take product priorities that start out loosely defined, like voice localization for accent support or multilingual sentence endpointing, and turn them into a spec, an architecture, and shipped features.
Partner with Research to bring state-of-the-art real-time models into CVI. Sometimes that means dipping into research territory yourself.
Fix what you find. If you spot a flaky process or a slow path, you don't need a ticket or anyone's permission to go after it.
What this role has shipped:
Guided Browser Control: a framework that lets PALs drive a real web browser mid-conversation, narrating each click and scroll out loud
Magic Canvas: interactive cards rendered right on the video stream. The PAL puts the right card up at the right moment: a question, a text box, a calendar, a chart, an alert
Memories and Knowledge Base: the context layer that lets PALs recall past conversations and pull from document stores in real time, without breaking stride
Utterance-to-utterance optimization: shaving hundreds of milliseconds off conversational turns
Who you are:
You're proactive. When you see an issue, you fix it. Nobody has to ask.
You're autonomous. Given a loosely defined project, you figure out what "done" means, make the judgment calls, and deliver.
You're energized by unfamiliar problems. A lot of the work here has no playbook, and you'll take on projects outside your direct experience.
You adapt as priorities evolve. This space moves fast, and the most important thing to build can change as we learn. When it does, you adjust and keep moving.
You hold a high bar. What matters to you is how the product feels to the person on the other end of the conversation. Clean code and clever architecture are means to that end.
You're passionate about the future of interfaces. How people and computers interact is being reinvented right now, and you want a hand in shaping it.
Requirements:
Fluent in Python, with real depth in concurrent programs. Low-level concepts (asyncio, multiprocessing, event loops, the GIL, shared memory) are dear friends, and you design with them in mind.
You've built real-time systems, whether video, audio, or model inference, and you know what a millisecond latency budget feels like.
You bring a senior track record: you set direction, own decisions, and get things over the finish line.
You explain complex things clearly, and you use that to teach the people around you.
Nice to haves:
None of these are required, but they'd help.
Experience with GPUs and GPU management
Deep experience with video streaming over WebRTC
Deep experience with LLMs and agentic frameworks
Extensive experience with low-level systems
If you don't check every box but this sounds like the work you want to be doing, apply anyway.
