Bayerische KI-Agentur
FoodLabs & Atlantic Labs
HR-Partner - FEL GmbH
arz.digital GmbH
Cross Border Talents
Schwarz Dienstleistung KG
TELUS International Germany GmbH
Fraunhofer-Gesellschaft
Databricks
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.
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
Intro Chat with Head of Talent (30 mins)
Technical Screen + Meet and Greet with Hiring Manager (60 mins)
Executive Chat - Sushanth, CEO and Founder (30-45 mins)
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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.