AI Software Engineer
il y a 1 semaine
At DeepIP, our vision is to build the AI operating system for IP practitioners. Intellectual Property is not just legal paperwork—it's a company's strategic DNA. Yet today's patent professionals are drowning in inefficient processes, outdated tools, and mountains of prior art.
We are building AI-powered assistants to radically transform the practice of IP: from drafting patents, to prosecution, and to searching prior art. Our products empower IP professionals to focus on strategy and creativity while AI handles the complexity.
2026 is just the beginning — we're growing faster than ever and looking for bold, passionate people to join the ride. If you thrive in a fast-paced, flexible environment where every challenge sparks growth, come build the future with us.
The Role – AI Software EngineerWe are looking for an AI software engineer responsible for developing and maintaining AI systems, ensuring they are reliable, efficient, and aligned with end-user needs.
You will join a team of AI engineers working at the frontier of applied AI. Together, we'll continuously push our AI stack to the state of the art, experimenting with the latest models, architectures, and techniques to deliver real impact to the IP professionals.
Your work will directly contribute to keeping DeepIP at the forefront of innovation — as the most advanced and trusted IP assistant on the market.
Responsibilities:Design, build, and maintain production-grade agentic AI systems integrating LLMs and custom models.
Develop robust components, including prompt management, post-processing, and RAG-based retrieval.
Ensure reliability and quality through testing, CI/CD, and Clean Architecture practices.
Monitor and optimize system performance, observability, and model behavior in production.
Collaborate with end users and the team to align technical decisions with product vision and continuously advance our AI stack.
Profile:
2+ years of experience in software engineering, strong first experience in startups and/or strong educational background.
Proven hands-on experience in complex backend development and/or AI development using Python.
Proficiency with AI coding tools like Cursor, Github Copilot, Codex, …
Knowledge and experience with LLM SDKs and libraries (for example OpenAI, Anthropic, Google GenAI, LiteLLM, Langchain), and with LLM tracing (Langfuse or another solution).
Interest in Intellectual Property or willingness to learn about the domain.
Optional skills: knowledge of search systems, experience in Machine Learning / Deep Learning (particularly with NLP and/or Vision).
Join an AI-first team tackling a very exciting challenge: the automation of the patent lifecycle.
Impact from day one: your work will power thousands of IP professionals worldwide.
A culture of collaboration, ownership, and rapid iteration.
Flexible working hours and work location, competitive compensation.
HR call : get to know you
Presentation interview with the Lead AI engineer
Technical interview: system design & live coding (1h30)
VP Eng & Co-founder interview.
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