Founding Engineer
Clera
München, Germany
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€90,000 - €150,000
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Business Systems
Extract Transform Load (ETL)
Data Migration
Data Warehousing
Distributed Systems
Python (Programming Language)
Operational Data Store
Data Streaming
Systems Integration
TypeScript
Web Applications
+4 more
Enterprise Software Applications
Agentic-AI
Free and Open-Source Software
Data Pipelines
Job description
Join a small, early-stage enterprise AI team building agents that connect, migrate, and implement business systems. As one of the first engineers, you will shape the core product and engineering practices behind reliable, production-grade integrations. What You’ll Do
- Build agent planning, execution, and self-healing capabilities that turn integration requirements into working data flows.
- Develop and maintain connectors, transformation tools, execution runtime, web application, SDK, and MCP server.
- Own high-impact engineering problems from design through production delivery.
- Work on critical systems that interact with enterprise financial and operational data, with a strong focus on reliability.
- Join customer conversations when they relate to your work and use feedback to guide implementation.
- Establish engineering patterns and quality standards for a growing team.
Requirements
- At least 2 years of professional experience building and operating production software.
- Strong TypeScript skills and demonstrated experience building end-to-end applications, plus proficiency in Python, Go, or C.
- Experience designing critical infrastructure with sound judgment around reliability and scalability.
- Experience integrating with enterprise systems such as ERP, CRM, or data warehouse platforms, and ideally with data migration, ETL, or data pipelines.
- Direct experience working with customers on technical implementations or support.
- Substantive contribution to open source projects.
- Hands-on product engineering experience in a startup or similarly fast-moving environment; experience with distributed systems or AI agents is useful.
- Strong technical depth demonstrated through education, professional experience, competitive programming, or shipped projects.
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