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.
• Work on sophisticated embedding models to transform our existing data assets and improve search, matching, and recommendation capabilities.
• 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 complex regulatory text.
• Present technical work and outcomes to stakeholders, including executive leadership. 
• Take 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.
• (Preferred) Experience with knowledge graphs and semantic data modelling.
• Fluent spoken and written English (company language is English.)

Why us?

• hybrid work in Munich, in exception 100% remote work is also possible if you live in Germany.
• flexible working time.
• 30 days of vacation per year.
• 30 days of workcation per year, in the EU and some selected countries.
• high autonomy and flat hierarchies.
• direct access to the users, quick iteration cycles.

Closing