Agentic Ai Research Engineer

AI Engineer - Agentic AI for Scientific Workflows About us: Axiomatic_AI is dedicated to accelerating R&D by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering, empowering engineers specifically in hardware design and Electronic Design Automation (EDA), with a mission to revolutionize the fields of hardware design and simulation in the photonics and semiconductor industry. We seek highly motivated professionals to help us bring these innovations to life, driving the evolution from development to commercial product. Position overview: As an AI Engineer specialized in Agentic AI workflows, you will play a key role in building new verifiable workflows for science and engineering. Your responsibilities will include designing, prototyping, developing and testing our pipeline. You will also manage data curation, conduct benchmarking to evaluate performance, analyze reasoning flaws and propose solutions. Close collaboration with our dedicated cross‑functional team – consisting of AI Engineers, Software Engineers, Physicists and AI scientists – will be essential to the success of the project. Your mission: AI Development: Contribute to the development of novel AI reasoning models and architectures, focusing on advanced reasoning techniques and application to scientific fields where rigour and reliability are fundamental. Data & Benchmarking: Supervise dataset curation, run benchmarks, and analyze performance results to guide improvements. Collaboration: Work closely with a cross‑functional team of engineers and scientists, collaborating on solving challenging problems at the intersection of AI, physics and engineering. Documentation and Reporting: Develop detailed technical documentation and present research findings to internal teams and external stakeholders. Research & Publication: Contribute to cutting‑edge research and publish results in top AI conferences and journals, helping advance the global AI research community whenever opportunities arise. Key requirements: Master’s degree in Data Science, Computer Science, Information Technology, Artificial Intelligence, Physics or related field. 2+ years of experience, preferably in a mathematical, engineering, scientific, or technical setting. At least one year of experience in agentic AI applications. Ability to collaborate effectively within a multidisciplinary and multicultural environment. Curiosity, and a proactive, solution‑oriented mindset. Excitement to work in a dynamic and fast‑paced environment, thrives in ambiguity. Personal interest in exploring most recent AI developments and keeping up to state of the art. Technical skills Proficiency in Python Understanding of fundamental computer science principles Proficiency in agentic and deep learning frameworks Solid understanding of machine learning principles and architectures Fundamentals of statistics Hands‑on experience with large language models Excellent research and analytical and communication skills Nice to have: Proven excellence in relevant areas (e.G., awards, competition wins) Demonstrated curiosity and passion for AI (e.G., personal projects, outreach activities, hobby work) or proven contributions to open‑source projects Proven ability to independently solve complex problems or lead challenging projects Academic or practical background in physics or other natural sciences Experience with good coding practices and software development standards Familiarity with recent AI pipelines and protocols e.G. MCP tools/servers What we offer: Competitive compensation Stock Options Plan: Empowering you to share in our success and growth. Cutting‑Edge Tools: Access to state‑of‑the‑art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation. Work‑Life Balance: Flexible work arrangements in one of our offices with potential options for remote work. Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community. Impact‑Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware. As set forth in Axiomatic_AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr