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Home / Jobs / Asendia AI (P26)

Product Engineer

Asendia AI (P26)

San Francisco, CA, US / Remote (DE; New York, NY, US; Toronto, ON, CA; Toronto, Ontario, CA)remote
Asendia AI (P26) logo

Role tags

FulltimeMachine learning

Tech stack mentioned

PythonReactNext.jsFastAPIAzureWebSocket

Role overview

Formatting this description...

About Us Asendia AI is rebuilding how the world hires. The global staffing industry is $600B+ and still runs on manual phone calls and gut feelings. We built AI agents that screen, interview, and score candidates 24/7, live, in real time, at a fraction of the cost. We work alongside staffing agencies across the US and Europe who expect speed, accuracy, and scale, and we hold ourselves to the same bar. Already running thousands of AI-powered screens, our agents place candidates within days of going live and cut screening costs by 90%. YC-backed. Seed-stage with years of runway. AI penetration in staffing is still under 1%, and there's no dominant platform yet. We're building it, AI-native from day one. Joining Asendia means three things: We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We build with AI: the best tools, in the product, and in how we ship. Mission before ego. Everyone contributes. No one coasts. If you're driven by impact, pace, and raising the bar, this is the place. The role As a Product Engineer at Asendia, you'll build the AI agents that are the product, the voice interviewers that talk to thousands of candidates, and the systems that turn those conversations into decisions. You'll work across the stack with real ownership and autonomy, and see your work hit real users the same week you ship it. What you'll be doing: Design and ship voice AI agents: real-time phone interviews with sub-300ms latency (LLM orchestration, WebSockets, FastAPI) Build the prompt and agent architecture: reusable, multi-vertical interviewer systems, each client customizes their own screening logic, voice personality, compliance rules Turn messy voice conversations into structured, reliable candidate scores Run evals and reliability work: audit agents across a live fleet, catch regressions, keep behavior consistent at scale Build the agentic infrastructure that lets every client spin up and tune their own screening workflows Who you are A passionate engineer who's shipped AI agents end-to-end, not demos, things real users hit Fluent with LLMs, prompting, and agent orchestration; you know where models break and how to engineer around it You build with AI tools, not around them. Agentic coding is part of how you ship Strong in Python and comfortable across the stack; you don't wait on anyone to finish a feature High-agency: no docs, no playbook, a client deadline on Friday—you figure it out You think about the product, not just code—you understand why a screening flow matters to a recruiter and build accordingly Bonus: voice/speech systems, real-time streaming, eval frameworks, or prior staffing/recruitment experience. Python/FastAPI backend, React/Next.js frontend, Azure cloud (Functions, AKS, Cosmos DB). Real-time voice powered by WebSocket streaming and LLM orchestration. Complete the application form and attach your CV. An introductory conversation to get to know you, share more about Asendia, and discuss what you’re looking for. A deeper dive into your technical skills, experience, and approach to problem-solving. You’ll receive a case or challenge relevant to the role, followed by a 60-minute presentation and discussion with the team. (Usually paid) A final conversation with Rihab (our CEO) to ensure mutual fit and alignment.

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