Feeny
Peec AI

Senior Python Engineer at Peec AI (Berlin, Germany)

Peec AI· Berlin, Germany· €100k–€150k·

Role details

Salary
€100k–€150k
Work type
Onsite
Employment
Full-Time
Equity
Yes
Skills
PythonFastAPIRESTGraphQLgRPCPostgreSQLSQLTypeScriptGCPVertex AICloud FunctionsCloud Tasks
Benefits

Equity Compensation · Team Events And Off-Sites · Paid Dinner · Uber Home For Late Work · Hybrid Work Model

Summary

The Senior Python Engineer will take end-to-end ownership of complex backend systems, designing and building robust APIs and distributed systems. This role involves collaborating with cross-functional teams to translate product ideas into scalable solutions using modern Python and cloud-native technologies.

Job description

What you’ll do

  • Take ownership of complex backend systems end-to-end - from scoping and architecture to high-quality, reliable delivery
  • Design and build robust, scalable APIs and distributed systems that power our products and deliver exceptional performance
  • Collaborate closely with Product, Frontend, and Design teams to translate product ideas into well-architected backend solutions
  • Push the boundaries of what’s possible with modern backend technologies, driving innovation in both architecture and developer experience
  • Contribute to evolving our backend architecture, infrastructure, and developer tooling to support rapid iteration at scale
  • Proactively identify opportunities to improve system performance, reliability, and developer experience - and drive those initiatives through to execution

What we’re looking for

  • 5+ years of professional backend engineering experience, ideally in fast-paced startup or high-growth environments
  • Deep expertise in Python and FastAPI, with a proven track record of building and scaling production systems
  • Experience designing and implementing APIs (REST, GraphQL, or gRPC) that power user-facing products
  • Strong experience working with SQL databases (e.g. PostgreSQL), including schema design, query optimization, and data modeling for production systems
  • Familiarity with cloud-native architectures, ideally on GCP (e.g. Cloud Functions, Cloud Tasks, Firestore)
  • Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code
  • Familiarity with Vertex AI and ML specific infrastructure
  • Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals
  • Some markers of excellence, which could also be non-work related, like having a high FIDE rating
  • Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness

Tech Stack

  • Languages: Python, TypeScript
  • Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse
  • AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.

Bonus Points

  • You’ve personally built and scaled a system (e.g. side project, startup, open-source) that handled significant traffic or complexity, and learned real lessons from it
  • Background working on AI products or data-heavy applications
  • Academic background in Computer Science or a related technical field
  • Experience in starting a company or working at a top-tier high-growth startup

What we offer

  • Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
  • Regular team events and off-sites
  • Aggressive equity compensation package
  • Paid Dinner & Uber home when working late
  • The most beautiful office space and work environment in Berlin

Why work at Peec AI

  • High Growth & Impact: The company is in the top 1-2% of startups in terms of growth, offering employees "real ownership" and the chance to shape a new category.
  • Great Compensation: The company emphasizes "great compensation" and benefits as a key pillar of its employee value proposition.
  • Team Energy: Described as having a high-energy, fast-paced, and ambitious culture, typical of a well-funded early-stage startup.
  • Remote/Hybrid/Office Policy: Roles are primarily based in Berlin, with plans for a New York office. The company appears to value in-person collaboration, though specific remote/hybrid policies are not publicly detailed.
  • Notable Perks: Unlimited growth opportunities, a strong emphasis on team energy, and the chance to work with top-tier investors and a high-caliber team.
  • Engineering Culture: The company’s strength lies in its technical infrastructure, making it an attractive place for engineers and data scientists interested in AI, real-time data pipelines, and applied research.

Application questions