Founding Engineer

Clera
Berlin, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automated Storage and Retrieval Systems Code Review Databases Data Normalization Python (Programming Language) PostgreSQL Next.js TypeScript ReactJS Large Language Models
+4 more
Backend Low Latency Front End Software Development Data Pipelines

Job description

Join an early-stage team building AI software for enterprise procurement. You will own customer problems from discovery through production while helping shape the technical direction and engineering practices of the company. What You’ll Do

  • Discover customer needs and deliver end-to-end product features across the frontend, backend, and infrastructure.
  • Build AI-enabled workflows and shared foundations for agent context, tool use, and evaluation.
  • Set architectural direction and make decisions that support performance, security, and developer experience.
  • Review AI-assisted code and improve product quality through frequent releases and user feedback.
  • Contribute to hiring, code review, and the team’s engineering practices.

Requirements

  • At least 3 years of experience building and shipping full-stack production software, with clear evidence of strong engineering ability and ownership.
  • Production experience with TypeScript and Python, including applications built with Next.js; familiarity with React, PostgreSQL or Supabase, and Vercel is relevant.
  • Hands-on experience with production LLM applications, retrieval systems, and embeddings, including trade-offs in latency, cost, and quality.
  • Experience designing reliable LLM workflows with evaluations, guardrails, and observability.
  • Strong frontend, backend, database, API, and infrastructure fundamentals, with experience shipping features frequently.
  • Startup or entrepreneurial product-building experience and the ability to work hands-on in a small team.
  • Experience with real-time data pipelines, data normalization, and enterprise integrations is valuable.
  • Procurement, ERP, or enterprise supply chain experience is a plus.

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