Job
- Level
- Lead
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop an AI-based system for automating expert interviews, create a knowledge transcription pipeline, and integrate AI agents for effective knowledge utilization within the organization.
Job Technologies
Your role in the team
- With our Intelligence Management Platform, we address one of the biggest challenges of the coming decade: how companies can preserve their expert knowledge before it is lost due to retirement or turnover.
- As a Founding AI Engineer, you will be responsible for a visionary product at the intersection of AI, UX, and knowledge management.
- You design, implement, and improve an AI-based system that fully automates interviews with subject matter experts, captures their implicit knowledge, and makes this knowledge accessible across the company through various formats and interfaces.
- You work closely with internal stakeholders and pilot customers to understand real needs, test hypotheses, and bring early functioning prototypes to market.
- Design and implement the AI interview process that dynamically asks meaningful questions using AI Voice Agents and captures in-depth expertise.
- Build and orchestrate a transcript-to-knowledge pipeline that structures, processes, sustainably stores, and provides expert knowledge captured in interviews.
- Design and implement AI agents to make the captured knowledge available across different formats and interfaces within the company.
- Conduct user interviews with subject matter experts and knowledge managers to validate needs and continuously improve the system.
- Take responsibility for the end-to-end product - from AI agents and data pipelines to an intuitive frontend.
- Work closely with the product and development team on goals, experiments, and vision. You are simultaneously a hands-on developer and a product-driven thinker.
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Our expectations of you
Qualifications
- Deep technical understanding: You are capable of independently designing, implementing, and operating scalable complex AI and software solutions end-to-end. (Tech Stack: Next.js, LiveKit, LangGraph/LangChain, Azure, OpenAI, TypeScript, Python)
- Conceptual strength: You are able to design, evaluate, and translate technical solutions for complex problems into viable architectures.
- Product thinking: You think not only in lines of code but also in user needs and added value.
- Ownership & Hands-on mentality: You work independently and proactively, take responsibility, and communicate clearly.
Experience
- User Empathy: You already have experience with user interviews and genuine interest in understanding how people think and work.
- Bonus: Experience with Knowledge Graph, Knowledge Management, or Knowledge Engineering.
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What we offer
- As a founding engineer, you have a direct impact on product, technology, and strategy, and benefit from genuine participation opportunities in the company's success.
- Your contribution is visible, measurable, and valuable in the long term.
- For us, facts matter more than egos.
- You are given entrepreneurial freedom and the responsibility to be measured by results.
- Development does not stop at the management level with us.
- Individual coaching, sparring with the leadership team, or access to premium learning resources – you are not only investing in the company, but the company is also investing in you.
- You work with ambitious colleagues in an award-winning company.
- We create space for performance, trust, and appreciation, and avoid empty phrases.
- We combine the best of both worlds: You work flexibly from home but are regularly in the office to test ideas with the team, make decisions, and build momentum.
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Topics You Will Work On
Job Locations
About Your Employer
Omnora GmbH
Omnora GmbH, based in Frankfurt am Main, specializes in developing software solutions for knowledge management and AI-supported learning processes. The company assists businesses in making internal knowledge visible and usable, placing a strong emphasis on automation and long-term customer relationships.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication