{"id":89247,"title":"Member of Technical Staff - Software Engineering","company":"Exponential Security Labs","city":"Tübingen","region":"Baden-Württemberg","location":"Tübingen, Tübingen, Baden-Württemberg, Germany","work_model":"hybrid","employment_type":"full_time","employment":["full_time"],"roles":["software"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-05T13:14:28.959000+00:00","tools":["LLM"],"seniority":"lead","years_experience_min":null,"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":"Strong software-engineering fundamentals and a record of shipping systems end to end Experience with backend development, infrastructure, or distributed systems Good judgment in ambiguous projects and the ability to choose …","url":"https://jobs.ashbyhq.com/exponential/34f4aa0c-42b9-4940-81b9-34035bc31a12","source":"ashby","agency":null,"description_text":"Build realistic environments for AI agents and the infrastructure for RL training and benchmarking.\nLocation: Tübingen / Hybrid\nEmployment: Full-time\nThe role\nYou will build the environments and benchmarking systems at the core of our products. The role combines strong software engineering with practical work on AI agents: designing realistic environments, investigating agent behavior, and making evaluations reliable and useful. You will work across these problems with the rest of the team, with a particular focus on software architecture, infrastructure, and implementation.\nWhat you’ll work on\n• Build and maintain production software systems and realistic environments for AI agents\n• Develop reliable backend and cloud infrastructure for RL training and benchmarking\n• Turn research prototypes into dependable tools and products\n• Improve developer workflows across backend, data, and machine-learning systems\n\nWhat we’re looking for\n• Strong software-engineering fundamentals and a record of shipping systems end to end\n• Experience with backend development, infrastructure, or distributed systems\n• Good judgment in ambiguous projects and the ability to choose practical designs\n• Interest in AI systems and working across engineering and research\n\nUseful experience\n• Early-stage startup or small-team product development\n• LLM APIs, agent systems, or ML platforms\n• Cloud infrastructure, containers, queues, or distributed workloads\n• Developer tools, evaluation platforms, or data-intensive applications\n\nWhat we offer\n• Competitive compensation with equity\n• Flexible hours and a remote-friendly setup\n• Vacation, learning, and conference budget\n• Research freedom in a high-trust environment\n\nWork with us\nSubmit your CV, a short note, and links to work that shows how you think and build using the application form.","responsibilities_text":"You will build the environments and benchmarking systems at the core of our products. The role combines strong software engineering with practical work on AI agents: designing realistic environments, investigating agent behavior, and making evaluations reliable and useful. You will work across these problems with the rest of the team, with a particular focus on software architecture, infrastructure, and implementation.\nWhat you’ll work on\n• Build and maintain production software systems and realistic environments for AI agents\n• Develop reliable backend and cloud infrastructure for RL training and benchmarking\n• Turn research prototypes into dependable tools and products\n• Improve developer workflows across backend, data, and machine-learning systems","requirements_text":"• Strong software-engineering fundamentals and a record of shipping systems end to end\n• Experience with backend development, infrastructure, or distributed systems\n• Good judgment in ambiguous projects and the ability to choose practical designs\n• Interest in AI systems and working across engineering and research\nUseful experience\n• Early-stage startup or small-team product development\n• LLM APIs, agent systems, or ML platforms\n• Cloud infrastructure, containers, queues, or distributed workloads\n• Developer tools, evaluation platforms, or data-intensive applications","status":"open","duplicate_of":null,"first_seen":"2026-11-04T01:52:02.259799+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["LLM"],"posting_language":"en","evidence":[],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":3641}