We are seeking an AI/LLM Engineer to join our dynamic team and play a critical role in building agentic AI systems from end to end. The successful candidate will work on developing reliable AI systems in production, including retrieval and Large Language Model (LLM) orchestration, tool-using agents, and seamless product integrations. This role offers a unique opportunity to shape the future of AI-powered automation in real-world applications and to grow rapidly alongside a high-growth startup.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About The Company
Mercura Technologies Inc. is a pioneering startup dedicated to transforming the manual industries that shape our world. As part of YC W25, we focus on helping companies in sectors such as healthcare, education, and energy operate with the agility and efficiency of modern software solutions. Our mission is to automate back-office workflows that underpin a $12 trillion industry, enabling these industries to move at software speed. Since our inception, we have rapidly scaled from an initial focus on streamlining technical requests into accurate quotes, reaching $2 million in annual recurring revenue within our first year. With a talented team of 16 professionals, we are now targeting $10 million ARR by the end of 2026 and expanding our footprint into the United States. Our culture emphasizes innovation, ownership, and impact, driven by a team of experienced operators, ex-founders, and top-tier graduates from institutions such as MIT, Harvard, Oxford, and Cambridge. We are committed to building a sustainable, impactful company that leverages cutting-edge AI technology to improve real-world workflows and industries.
About The Role
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Qualifications
We are looking for candidates with a proven track record in architecting and deploying complex AI/LLM-powered systems in production environments. Experience with model serving, orchestration of agent workflows, monitoring, and scaling AI workloads is essential. Candidates should have demonstrated expertise in processing and structuring large volumes of unstructured data and developing evaluation and feedback loops to continuously improve AI performance. Proficiency in Python is required, and experience with full-stack development using React, Typescript, and FastAPI is a plus. The ideal candidate will possess a high level of ownership, initiative, and a mission-driven mindset, with the ability to work independently and drive projects forward with minimal guidance. A product-oriented approach, quick iteration skills, and enthusiasm for working in a fast-paced startup environment are highly valued. Candidates should be excited about working in person in Munich and committed to contributing to our ambitious growth goals.
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Design and develop end-to-end LLM-powered agentic systems, including experimentation, deployment, and optimization. Build retrieval and context pipelines such as Retrieval-Augmented Generation (RAG), hybrid search, and structured retrieval to enable reliable reasoning over extensive technical and commercial data. Develop robust evaluation and monitoring systems to measure and enhance AI performance in production environments. Create scalable data pipelines capable of processing and structuring large volumes of unstructured documents and data sources. Implement automated feedback mechanisms that allow AI systems to learn from usage data and human input, ensuring continuous improvement. Own the architecture, reliability, and scalability of AI systems in production, maintaining high standards of speed, robustness, and efficiency. Collaborate closely with product and engineering teams to integrate AI capabilities seamlessly into the overall product experience, ensuring that solutions meet user needs and business objectives.
Benefits
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Equal Opportunity
Mercura Technologies Inc. is an equal opportunity employer that values diversity and inclusion. We are committed to creating a workplace where all employees feel respected, valued, and empowered to contribute their best. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic protected by law. Our hiring practices are designed to foster a diverse and inclusive environment, recognizing that different perspectives drive innovation and success. We actively support initiatives that promote social mobility and equal opportunity, reflecting our core values of fairness, integrity, and community engagement.
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