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Senior/Staff Engineer — Voice AI

Pallet

Deutschland

Hybrid

EUR 166.000 - 227.000

Vollzeit

Vor 14 Tagen

Zusammenfassung

A dynamic logistics technology company in Germany seeks a Backend Engineer to integrate voice AI into their platform. The role involves designing scalable infrastructure and collaborating on system architecture. Ideal candidates will have expertise in Node.js, TypeScript, and real-time systems, alongside strong technical leadership skills. Competitive salary and opportunities for growth offered.

Leistungen

Relocation assistance
Competitive equity
Comprehensive benefits

Qualifikationen

  • Experience building 0→1 platform features and real-time systems.
  • Comfortable balancing latency, reliability, and UX in voice or streaming data systems.
  • Skilled in APIs and integration of third-party AI services.

Aufgaben

  • Design and build scalable, low-latency voice AI infrastructure.
  • Integrate third-party voice models and APIs with our AI agents platform.
  • Collaborate with teams on system design and architecture.

Kenntnisse

Backend engineering
Real-time systems
APIs
Data pipelines
Technical leadership

Tools

Node.js
TypeScript
PostgreSQL
Google Cloud Platform
Jobbeschreibung

You could be an engineer anywhere, why us?

  • Join a well-funded, high-growth startup on the path to IPO ($50M raised, 700% revenue growth in 2 years, targeting a $11T market)

  • Work directly with our Head of Platform Engineering,ex-Google and Finch

  • Help transform a massive industry and scale us toward a $10 B+ business

About the opportunity:

Given recent economic shifts, logistics providers and shippers want to capitalize on generative AI to drive business efficiency. As a result, many of them are turning to CoPallet, the first end-to-end service of AI agents and logistics experts, to automate their back-office operations. If we can capture this momentum effectively, we’re on track to build the next $10 billion tech company in logistics.

About the Role You’ll lead the architecture and integration of voice AI into our platform, making voice a core way users interact with our system. You don’t need to be a voice AI expert day one, but you should be comfortable owning backend architecture and balancing tradeoffs around real-time performance, latency, and user experience.

You’ll design real-time voice interaction systems, integrate third-party voice models and services, and build pipelines that connect voice input to agent actions and responses. You’ll also shape Pallet’s product and engineering roadmap.

What You’ll Do

  • Design and build scalable, low-latency voice AI infrastructure

  • Integrate third-party voice models and APIs with our AI agents platform

  • Develop APIs and pipelines linking voice input to agent workflows

  • Collaborate with engineering and product teams on system design and architecture

  • Potential to lead a team as a product lead

Tech Stack

  • Backend: Node.js + TypeScript, Encore framework

  • Database: PostgreSQL

  • Infrastructure: Google Cloud Platform

  • AI/ML: OpenAI, Anthropic, Google Foundation Models, LangChain

  • Frontend: React + TypeScript

  • Browser automation: Browserbase

Preferred Experience

  • Backend engineer with experience building 0→1 platform features and real-time systems

  • Comfortable balancing latency, reliability, and UX in voice or streaming data systems

  • Skilled in APIs, data pipelines, and integration of third-party AI services

  • Startup experience with strong technical leadership skills

  • Experience with: GCP and PostgreSQL

Who you are:

  • You own the outcome:taking full responsibility to deliver impact end to end, no excuses.

  • You move fast but with quality:shipping quickly while maintaining sustainable craftsmanship.

  • You experiment relentlessly:embrace a growth mindset, learn from failures, and iterate faster.

  • You push beyond limits:no coasting; you raise the bar for yourself and the team.

  • You thrive in collaboration:value face-to-face teamwork and contribute actively in our in-office culture.

Interview Process

  1. Intro Chat with Head of Talent (30 mins)

  2. Technical Screen + Meet and Greet with Hiring Manager (60 mins)

  3. Executive Chat - Sushanth, CEO and Founder (30-45 mins)

  4. Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)

Location:

Since we're a small team building 0-1 products, we prefer for candidates to be comfortable working in an in office environment in San Francisco. We typically come into the office 3-4 days a week. Relocation assistance can be provided for interested candidates.

Compensation:

The estimated salary range for this role is $195,000 – $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.

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