Senior AI Engineer

Vor 2 Tagen

München HQ, Deutschland Certivity Vollzeit


About the Job

We are looking for a Senior AI Engineer (f/m/d) to join our growing R&D team. In this role you will work on complex document analysis at Certivity – from extracting meaningful insights from regulatory texts to building generative AI products for regulatory compliance. 

You will have the opportunity to work on challenging problems at the intersection of generative AI, multimodal document analysis, and hybrid (semantic and lexical) search. As part of our growing team, you'll have significant impact in shaping both our product and technology roadmap.

What you will do
  • Design and implement AI systems for complex document analysis, including extraction of named entities, relationships, and references within regulatory documents.
  • Implement customer facing agentic AI features based on Certivity's proprietary regulatory dataset. 
  • Work closely with our regulatory experts to understand domain-specific challenges and taxonomies, and create appropriate AI solutions.
  • Build LLM-based products for generating structured engineering documents from legally binding regulatory text.
  • Present technical work and outcomes to stakeholders, including executive leadership. 
  • Take end-to-end ownership of key projects and deliver high-quality solutions with measurable impact.
  • Mentor junior team members and contribute to the technical growth of the team.


Your profile
  • Either 5+ years of professional experience in industry (preferably consulting clients across more than one domain) OR 2+ years in industry and a PhD in a relevant field of study such as computer science, mathematics or physics.
  • Experience with complex document analysis is a must.
  • Experience building AI-based applications using both LLM APIs and self-hosted models.
  • Familiarity with AI agents, deep-search techniques, or preferably both.
  • Experience with multimodal embeddings and vector-based retrieval systems.
  • Knowledge and hands-on experience evaluating LLM applications for accuracy, performance, and business impact.
  • Demonstrated ability to take ownership of projects and drive them to completion.
  • Experience presenting technical work to non-technical stakeholders and executives.
  • Hands-on experience implementing and maintaining production ML systems in Python.
  • Experience with at least one cloud platform.
  • (Preferred) Familiarity with search technologies such as Elasticsearch, Mongo Atlas or similar systems.
  • Fluent spoken and written English (company language is English).


Why us?
  • A vibrant in-office culture in a beautiful office in Munich (mandatory presence at least 2-3 days/week).
  • Flexible working hours.
  • 26+4 vacation days per year (4 fixed "company rest days").
  • 30 daysof "workation" per year, within the EU and selected countries.
  • High autonomy and flat hierarchies.
  • EGYM Wellpass for unlimited access to fitness courses and gyms.
  • Udemy access for educational videos.


Closing

We welcome candidates from all backgrounds and encourage diversity in our team. We encourage female and diverse engineers to apply and join our mission-driven culture that values open communication, work-life balance, and a welcoming environment. Convince us with your personality and your skills - and together we will make great things happen

About us

Certivity is a Munich-based RegTech startup using AI to turn global regulatory complexity into clear, structured, and actionable compliance intelligence. Our SaaS platform automatically gathers and analyzes regulatory data worldwide, enabling engineering and compliance teams to work faster and more confidently.
Our international team of 70+ experts supports over 15,000 users in 10 countries. While we are strongly established in the automotive sector, we are now expanding into new industries with high regulatory demands.
At Certivity, you will play a key role in driving this expansion helping new clients understand the value of our technology and directly shaping our growth in new markets.

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