{"id":265921,"title":"Founding Engineer (Full-Stack/AI)","company":"Clera","city":"München","region":"Bayern","location":"Munich, Munich, Bavaria, Germany","work_model":"onsite","employment_type":"full_time","employment":["full_time"],"roles":["fullstack","data_science"],"visa":"not_offered","relocation":"not_mentioned","posted_at":"2026-11-06T17:07:58.907000+00:00","tools":["Python","Go","LLM"],"seniority":"mid","years_experience_min":2,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"Not stated","language_evidence":null,"requirements_snippet":"Typically 2 to 3 years of professional experience, or relevant projects and other evidence of capability. Strong full-stack and backend product-building experience, including production systems and cloud environments. Fluency in …","url":"https://jobs.ashbyhq.com/Clera/20549897-9c4b-4650-aa05-f7ef443e6cae","source":"ashby","agency":null,"description_text":"About the Role\nJoin an early-stage engineering team building AI-powered software for the freight and logistics sector. You will take ownership of core product architecture and development, combining hands-on full-stack engineering with practical AI experimentation to improve how logistics teams work.\nWhat You'll Do\n• Design, build, and maintain critical parts of the product.\n• Develop reliable full-stack features that help users work more efficiently.\n• Evaluate, benchmark, and fine-tune AI capabilities for accuracy and relevance.\n• Experiment with models, frameworks, and agent techniques, then deploy promising approaches and improve them using user feedback and data.\n• Improve complex legacy code to support greater structure and scalability.\n• Build infrastructure and automation for data-intensive and AI workloads.\n• Work closely with the founding team as a hands-on, high-ownership engineer.\n\nWhat We're Looking For\n• Typically 2 to 3 years of professional experience, or relevant projects and other evidence of capability.\n• Strong full-stack and backend product-building experience, including production systems and cloud environments.\n• Fluency in Python; familiarity with Go is a plus.\n• Practical experience building or operating AI/ML systems, including LLM integration, benchmarking, fine-tuning, and production experimentation.\n• Comfort working with complex codebases, engineering for scale, and automating systems.\n• Independent, adaptable, and results-oriented, with strong computer science fundamentals and an entrepreneurial mindset.\n• Experience in logistics, freight, supply chain, startups, or entrepreneurial projects is helpful.\n\nCompensation & Benefits\nBase salary: €60,000 to €90,000 annually. Equity participation is available. Visa sponsorship is not available.\nLocation\nFully on-site in Munich, Bavaria, Germany. Candidates must be based in Munich or willing to relocate.","responsibilities_text":"Join an early-stage engineering team building AI-powered software for the freight and logistics sector. You will take ownership of core product architecture and development, combining hands-on full-stack engineering with practical AI experimentation to improve how logistics teams work.\n• Design, build, and maintain critical parts of the product.\n• Develop reliable full-stack features that help users work more efficiently.\n• Evaluate, benchmark, and fine-tune AI capabilities for accuracy and relevance.\n• Experiment with models, frameworks, and agent techniques, then deploy promising approaches and improve them using user feedback and data.\n• Improve complex legacy code to support greater structure and scalability.\n• Build infrastructure and automation for data-intensive and AI workloads.\n• Work closely with the founding team as a hands-on, high-ownership engineer.","requirements_text":"• Typically 2 to 3 years of professional experience, or relevant projects and other evidence of capability.\n• Strong full-stack and backend product-building experience, including production systems and cloud environments.\n• Fluency in Python; familiarity with Go is a plus.\n• Practical experience building or operating AI/ML systems, including LLM integration, benchmarking, fine-tuning, and production experimentation.\n• Comfort working with complex codebases, engineering for scale, and automating systems.\n• Independent, adaptable, and results-oriented, with strong computer science fundamentals and an entrepreneurial mindset.\n• Experience in logistics, freight, supply chain, startups, or entrepreneurial projects is helpful.\nCompensation & Benefits\nBase salary: €60,000 to €90,000 annually. Equity participation is available. Visa sponsorship is not available.\nLocation\nFully on-site in Munich, Bavaria, Germany. Candidates must be based in Munich or willing to relocate.","status":"open","duplicate_of":80746,"first_seen":"2026-11-06T20:18:01.442436+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","Go","LLM"],"posting_language":"en","evidence":[],"years_experience_max":3,"mobility_evidence":[{"kind":"visa","quote":"Visa sponsorship is not available.: Location","value":"not_offered"}],"model_version":"rules-9","english_badge":"English required","company_id":1997}