---
title: 'Applied AI Engineer – Systems & Reliability (remote/Berlin-based) at HiPeople'
canonical: 'https://feeny.ai/job/applied-ai-engineer-systems-reliability-remote-berlin-based-hipeople-world-1dd9zkedjrfs'
type: 'job'
last_seen: '2026-09-04'
---

# Applied AI Engineer – Systems & Reliability (remote/Berlin-based) at HiPeople

- **Company:** HiPeople
- **Location:** World
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-09
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/hipeople-official/6c330d7b-7c6d-4993-8893-b58b5289d442

## Job description

HiPeople https://www.hipeople.io/ is the AI Hiring Platform that takes care of screening, interviews, assessments, and references. So recruiting teams can focus on what matters most. People.

We work with some of the world's leading brands, including the NFL, Zapier, Celonis, and DAZN. and are backed by leading investors and operators such as: Moonfire founder Mattias Ljungman, Capnamic, Cherry, André Christ (LeanIX, an SAP company), Mirko Novakovic (Founder Instana/Dash0), Micha Hernandez (Fiberplane), and others.

We’re hiring an Applied AI Engineer to build the backbone of how we ensure quality, reliability, and trust in our AI systems as we scale toward $10M ARR and beyond.

You’ll work directly with founders and play a central role in making sure our AI products are robust, measurable, and enteprise-production-ready. This role is for people who care deeply about quality, enjoy working on hard system problems, and want to build AI that actually works in the real world.

We are an extremely lean team and plan to reach $10M ARR with fewer than 20 people. Every hire materially changes the company. This role has direct exposure to founders and real responsibility from day one.

## WHAT YOU’LL DO

Own evaluation systems and quality standards

- Build and maintain evaluation pipelines for core AI workflows across screening, interviews, assessments, and references
- Define metrics, benchmarks, and acceptance criteria for AI outputs
- Track performance over time (quality trends, drift, regressions) and make results visible across the team

Drive continuous improvement of AI performance

- Identify issues across prompts, workflows, and data pipelines using both quantitative analysis and deep dives into real cases
- Design and implement improvements across:
- prompting strategies
- model selection, configuration, and fine-tuning
- input data quality and preprocessing
- orchestration and workflow design
- Push new systems from “working” (80%) to reliable and high-quality (95%+)

Ensure reliability, monitoring, and stability

- Build and improve monitoring for AI systems (e.g. dashboards, alerts, tracing)
- Detect and prevent failure modes, breakdown risks, and performance degradation
- Monitor usage, rate limits, and capacity to ensure stable operation at scale

Drive testing, CI, and safe shipping practices

- Integrate AI and prompt testing into CI (e.g. regression tests, golden datasets, staging environments)
- Define standards and tooling so product and engineering teams can safely ship without introducing regressions
- Act as a quality gate for AI-related changes

Own AI system audits and compliance support

- Prepare and support internal and external audits (e.g. SOC 2 and beyond)
- Provide evidence, documentation, and artifacts for AI system behavior and controls
- Translate audit findings into concrete improvements in systems and processes

Productionize AI workflows (not just prototype them)

- Build and productionize AI workflows that meet defined quality and reliability standards
- Support product and engineering teams in integrating AI cleanly into product logic and user experience
- Ensure new AI capabilities are robust, measurable, and maintainable before release

## WHAT WE ARE LOOKING FOR

- 100% alignment with our Ops Principles https://docs.google.com/document/d/1XIxbcK6Il4xm4kofx8fsKoEP9J13B33V8KBPRquImBs/edit?usp=sharing (if you feel this isn’t you, do not apply)
- Excitement for building in Go
- Experience working with AI/ML systems, LLMs, or data-intensive applications
- High ownership mindset and attention to detail
- Strong interest in quality, reliability, and system performance, not just building features
- Ability to debug complex systems across prompts, models, and data pipelines
- Clear communication and documentation skills
- Comfort improving systems and processes, not just using them
- Experience with evaluation methods, metrics, or experimentation is a strong plus
- Familiarity with monitoring, CI/CD, and production systems is a plus

## BACKGROUND

Strong candidates often come from:

- AI/ML engineering or applied AI roles
- Backend or systems engineering roles with exposure to AI/ML
- Data science roles with strong engineering and production experience
- Other paths that demonstrate building and improving real-world systems with rigor

## LOGISTICS

This role is remote or on-site in our Berlin office. We do not offer any Visa support for Germany at this time.

## BENEFITS

- Direct ownership of one of the most critical parts of the company: AI quality and reliability
- Work closely with founders on core product and technical decisions
- Competitive salary and meaningful stock options
- Educational stipend to support ongoing learning and development
- The best team to work with (true story!)

## PROCESS

- Step 1: AI Application Screen (immediate)
- Step 2: AI Recruiter Interview (right after successful AI Application Screen)
- Step 3: AI Skills-Assessment (right after successful AI Recruiter Interview)
- Step 4: Interview with Co-founder
- Step 5: Interview with the team (incl. Live Case Study)
- Step 6: References + Offer
- Duration: 1 week, end-to-end

🌈 We proudly believe in the power of diversity and inclusion. Diversity of thought fuels our success which can only be achieved with a diverse team. We welcome people from any race, orientation, gender, religion, age, ethnicity, differently-abled, neurodiverse or identity, we value all uniqueness.

## About HiPeople

## Company Overview
- **One-liner**: HiPeople provides an AI-powered hiring platform that automates resume screening, candidate assessments, interviews, and reference checks for ambitious hiring teams.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Berlin, Germany
- **Founded**: 2019
- **Founders**: Jakob Gillmann, Sebastian Schüller

## Core Business
- **Primary Industry**: Human Resources Technology / Recruiting Software
- **Target Customers**: B2B, primarily mid-market and enterprise companies with high-volume or skills-based hiring needs
- **Mission/Purpose**: To multiply hiring team capacity with purpose-built AI agents, making hiring faster, fairer, and more data-driven.

## Products & Services
- **AI-Powered Reference Checks**: Automates the request, collection, and analysis of candidate references, using NLP to generate deep, structured insights. Completes checks in ~25 hours with fraud detection.
- **Skills-Based Assessments**: AI-powered assessments that verify skills and culture fit before interviews, providing side-by-side candidate comparisons.
- **Automated Resume Screening**: Screens high volumes of inbound applications in real-time, blocking spam and surfacing top candidates.
- **AI-Driven Asynchronous Interviews**: Candidates interview 24/7 in 113 languages, controlled by evaluation criteria set by the hiring team, saving ~8 recruiter hours per week.

## Market Standing
- **Total Funding**: $6.8M
- **Latest Round**: Seed VC-II ($2.7M raised in October 2022)
- **Annual Revenue**: ~$2.4M (estimated)
- **Notable Investors**: Moonfire, Capnamic, Cherry Ventures, TSC, Mediahuis Ventures, Notion Capital, and SAP LeanIX founder André Christ.
- **Growth Signals**: Used by notable companies like Zapier, Grammarly, Superhuman, DAZN, and OLX. Decorated with 30+ G2 awards. Products can be used standalone or together, indicating strong product-market fit.

## Competitive Advantages
- **Purpose-Built AI Agents**: Unlike generic AI tools, HiPeople’s agents are specifically designed for the hiring workflow (screening, interviewing, assessing, referencing), providing a unified, compliant solution.
- **Data-Rich Reference Checks**: Focuses on reference checks as a high-signal, underutilized data point, turning them into objective, structured insights rather than subjective phone calls.
- **Bias Reduction**: Asynchronous, data-driven processes remove human bias from reference collection and initial screening.
- **Compliant by Design**: Built with AI/privacy compliance as a core feature, crucial for enterprise adoption.

## Strategic Focus
- **Product Expansion**: Encouraging customers to use multiple products together (e.g., assessments + reference checks) to get a "stronger signal earlier."
- **Deepening Data Insights**: Using the rich data from reference checks and assessments to feed into better onboarding and hiring decisions.
- **Scaling Enterprise Reach**: Targeting ambitious hiring teams at growing companies, leveraging integrations with the wider HR tech landscape.

## Why Work Here
- **Culture**: Described as building "AI for ambitious hiring teams," suggesting a fast-paced, product-focused, and data-driven environment. The team is small (14 employees), offering high impact and ownership.
- **Remote/Hybrid Policy**: Offers remote positions (e.g., Applied AI Engineer is remote/Berlin-based), indicating flexibility.
- **Notable Perks**: Backed by top European VCs with a strong emphasis on engineering and AI. The team includes talent from companies like N26, Zalando, and Siemens.
- **Engineering Culture**: Focus on proprietary AI, science, and compliance. Current open roles include an Applied AI Engineer (Systems & Reliability) and a Software Engineer (frontend-biased), indicating a need for strong builders.

## Sources
1. [hipeople.io](https://www.hipeople.io/)
2. [linkedin.com](https://www.linkedin.com/company/hipeople-company)
3. [cbinsights.com](https://www.cbinsights.com/company/hipeople)
4. [leadiq.com](https://leadiq.com/c/hipeople/5ddd460b94535a8f04e43673/employee-directory)
5. [unleash.ai](https://www.unleash.ai/hr-technology/interview/hipeople-data-disrupt-recruitment)

## Other roles at HiPeople

- [Software Engineer (backend-biased)](https://feeny.ai/job/software-engineer-backend-biased-hipeople-world-pxn4ajhddjfh) — World
- [Software Engineer (frontend-biased)](https://feeny.ai/job/software-engineer-frontend-biased-hipeople-world-94942th0t71j) — World