TL;DR

Forward Deployed Engineer (Voice AI): Owning customer onboarding and implementations end-to-end, supporting production deployments, and acting as a close partner to both customers and internal teams, feeding real-world insights back into product development and ongoing innovation with an accent on ensuring they realize the full value of our technology. Focus on diagnosing issues related to codecs, sampling rates, streaming pipelines, buffering, model configuration, and end-to-end system performance.

Location: Ability and willingness to work on-site in Berlin, Germany

Company

%hirify_global% is building the reliability layer for Voice AI, the system that closes the gap between raw audio input and reliable machine understanding in production.

What you will do

Own technical onboarding and production deployment of %hirify_global%’ real-time and batch Speech & Audio Enhancement products for Voice AI and Voice Agent customers, from first proof-of-concept to live production systems.
Design, build, and integrate Voice AI and agent stacks using frameworks such as Pipecat, LiveKit, and adjacent ecosystems (telephony providers, ASR, TTS, LLM-based agents), with a strong focus on low latency and audio quality.
Act as the technical expert on real-time audio enhancement within complex agent architectures.
Develop custom benchmarks and evaluation setups to prove %hirify_global%’ impact in customer-specific environments.
Build reference implementations and demos that showcase best practices and accelerate customer adoption.
Feed real-world insights back into the product roadmap.

Requirements

Demonstrated experience in early-stage, high-growth startups.
Proven experience building Voice AI or conversational agent systems, including hands-on work with frameworks such as Pipecat and/or LiveKit, and their surrounding real-time audio and streaming infrastructure.
Customer-facing engineering experience (Forward Deployed, Solutions, or Implementation Engineering), ideally in a developer-first or ML infrastructure company serving technical buyers.
Strong software engineering skills with production experience (e.g. Python, TypeScript/Node.js, Rust/C++ bindings), and the ability to read, debug, and extend SDKs and APIs.
Deep understanding of real-time audio systems: latency constraints, buffering, codecs, sampling rates, streaming architectures, and performance trade-offs.
Ability and willingness to work on-site in Berlin, Germany as part of a highly collaborative, fast-paced team.

Culture & Benefits

Opportunity to work at a rapidly growing Voice AI startup, backed by top investors.
Competitive salary package, additional benefits and stock options, enabling you to take part in the company’s success.
Dynamic, fast-paced environment with passionate and collaborative colleagues.
Take full ownership of projects and ship fast.
World-class team of engineers and builders with ample room for professional growth.
Define the landscape of Voice AI technology.