Senior AI Engineer (m/f/d)
Join Voyfai, a fast-growing Series A startup shaping the future of logistics and technology across Europe.
Headquartered in Berlin, we operate at the center of a broader group of companies active across several European markets.
This is a unique opportunity to take ownership from day one, drive meaningful impact and grow within a dynamic, fast-paced environment. Whether you're shaping processes, building strategies or leading initiatives, your contributions will directly influence the success of Voyfai and the companies we support. If you're passionate about building from scratch and excited to be part of a company on the rise, we'd love to hear from you.
Your Role
As a Senior AI Engineer at Voyfai, you will play a key role in designing, building and scaling LLM-powered and applied GenAI systems that power our core products. You will work closely with Product, Engineering and Business stakeholders to turn complex, unstructured problems into robust, production-ready AI solutions.
This role is hands-on and impact-driven. You will be expected to take end-to-end ownership, from use case discovery and prompt or model design to deployment, monitoring and continuous improvement in production, with a strong focus on real-world reliability and business impact.
Key Responsibilities:
Design, develop and deploy LLM-powered and GenAI features for real-world, high-impact use cases
Build and own end-to-end GenAI pipelines, including prompt design, model selection or fine-tuning, evaluation and deployment
Integrate foundation models into production systems with a strong focus on latency, cost, reliability and quality
Collaborate closely with Product Managers and Engineers to translate ambiguous business problems into scalable AI solutions
Own production AI systems, including monitoring, evaluation, guardrails and feedback loops
Contribute to architectural decisions around AI platforms, retrieval systems, vector databases and LLMOps tooling
Raise the technical bar through code quality, documentation and mentoring
What You Bring:
Several years of experience as an AI Engineer, Machine Learning Engineer or similar role, with hands-on focus on LLMs and applied GenAI in production
Strong understanding of LLM behavior, prompting techniques, evaluation strategies and common failure modes
Solid Python skills and experience with GenAI frameworks or tooling such as PyTorch, LangChain, LlamaIndex or similar
Experience building production-grade GenAI systems such as RAG pipelines, agents or tool-using models
Experience deploying and operating AI systems in cloud environments, including cost and performance optimization
Familiarity with LLMOps or MLOps practices such as observability, testing and lifecycle management
Pragmatic, impact-driven mindset with the ability to communicate complex AI concepts clearly
What We Offer
Competitive salary and equity options
A dynamic, fast-paced work environment with a mission-driven team
Flexible working arrangements (Hybrid)
30 days of PTO
Regular team events and offsites
Monthly mobility budget via Navit
