Tech / Engineering

• Paris
• Hybrid

Lead AI Software Engineer

About DeepIP 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 Yet today’s patent professionals are drowning in inefficient processes, outdated tools, and mountains of prior art.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. 🌟

About The Role We are looking for a Lead AI Software Engineer to drive the design, development, and deployment of production-grade AI systems. You will lead a team of AI engineers and full-stack developers while staying hands-on with coding and system design at least 50% of the time .

You will play a pivotal role in shaping our technical architecture, mentoring your team, and ensuring our AI systems deliver maximum impact for users worldwide.

What You’ll Do

• Build and maintain production-ready AI systems integrating LLMs and custom models.
• Design robust components for prompt management, post-processing, and RAG pipelines.
• Ensure system reliability and observability via testing, CI/CD, monitoring, and clean architecture.
• Collaborate closely with product teams and end-users to align technical solutions with product vision.
• Lead and mentor a team, foster a collaborative culture, and drive high-quality delivery.
• Continuously optimize the value delivered to end-users, both individually and as a team.

Essential: What We’re Looking For

• 4+ years of experience in software engineering, preferably in startups or with a strong academic background.
• Hands-on experience in Python and backend development.
• Experience building or maintaining AI / LLM-based systems.
• Familiarity with LLM SDKs and libraries (OpenAI, Anthropic, Google GenAI, LiteLLM, Langchain).
• Proven ability to design production-grade AI components with reliability and observability.
• Strong leadership and collaboration skills: able to mentor, inspire and motivate teams.
• Fluent in French and English.

Nice-to-have:

• Knowledge of search systems or RAG pipelines.
• Experience in Machine Learning / Deep Learning (NLP or Computer Vision).
• Familiarity with AI coding tools (Cursor, GitHub Copilot, Codex).
• Interest or background in Intellectual Property.

What We Offer

• Work on a core AI product transforming the patent lifecycle.
• Make an immediate impact on thousands of IP professionals worldwide.
• Be part of a collaborative, high-ownership culture with rapid iteration.
• Flexible Hybrid Work (3 days in the office, 2 days remote) with competitive compensation.

Recruitment Process

• HR Call – Get to know you and your motivations.
• Presentation Interview – With Lead AI Engineer.
• Technical Interview – System design & live coding (1h30).
• Final Interview – With VP Engineering & Co-founder.

If you thrive in a fast-paced, ambitious, and super flexible environment, where collaboration, ownership, and a hunger for growth are celebrated, join us on this exciting journey.

DeepIP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, colour, religion, national origin, protected veteran status or on the basis of disability. Department Tech / Engineering Locations Paris Remote status Hybrid

Contact Lola Morel Peycelon Talent Partner – HR & Talent

About DeepIP DeepIP was officially created in 2023, branching from our AI-focused sister company, Kili Technology.

DeepIP uses AI to unlock new levels of efficiency and value in IP practices.

By embracing AI, Gen AI, and the modern software stack, IP professionals can transcend the limitations of conventional processes and deliver exceptional services that protect and value innovation effectively.

Founded in 2023

Coworkers 25

Tech / Engineering

• Paris
• Hybrid

Lead AI Software Engineer

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