Enjins, an AI engineering partner focused on climate tech, mobility, and marketplaces, is seeking a Lead AI Engineer for their Berlin hub. This role represents a unique opportunity to drive meaningful impact through AI while leading technical innovation and team development.
The position combines hands-on technical leadership with strategic responsibilities, making it ideal for someone who wants to shape the future of AI engineering in climate tech. As Lead AI Engineer, you'll be responsible for leading complex ML and GenAI projects from design to deployment, while coaching a talented team of AI engineers.
The role offers a clear leadership track, with the opportunity to grow into co-leadership of the Berlin hub within 6-12 months. You'll work closely with the CCO and receive personal coaching from the CEO, contributing to key initiatives like hiring, technical vision, and project delivery.
Key responsibilities include technical leadership in AI/ML/LLM solutions, team mentorship, strategic planning, and hub development. You'll need 5-8 years of experience bridging AI and software engineering, proven leadership capabilities, and deep technical expertise in building and scaling AI systems.
The position offers numerous benefits, including the chance to make real climate impact, work from a buzzing AI campus in Berlin, and shape the growth of a promising tech company. The hybrid working setup and emphasis on personal development through coaching and branding opportunities make this an attractive role for ambitious AI leaders.
Enjins' focus on engineering excellence, combined with their mission to drive meaningful impact in climate tech, creates an environment where technical innovation meets purposeful work. The company's approach of applying software engineering mindset to AI development ensures solutions are robust, scalable, and production-ready.
This role is perfect for someone who combines technical expertise with strategic thinking and wants to be part of building a high-quality AI engineering brand. The position offers both technical depth and leadership growth, with the opportunity to influence the direction of AI applications in climate tech and other meaningful sectors.