Director of AI

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🕒 May 8

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Belva

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2020

📱 Media

🤝 B2B

🔧 Hardware

Media • B2B • Hardware

Belva is a media and audiovisual solutions company that combines creative strategy, content production, and technical installation to help organizations communicate and present professionally. They offer videoproduction, photography, graphic design and web design services, and also design, install, maintain and support meeting rooms, auditoria and mediarooms so clients have one partner for both content and the spaces/technology where it’s presented.

📋 Description

• Own the AI technology strategy, architecture, and execution for a small, highly technical startup • Report directly to the CTO • Build, ship, and scale applied AI in a company where the work is central to product success • Define and execute the technical AI roadmap • Deliver technical, product, and operational outcomes tightly aligned with company goals • Hire, mentor, and manage a small team of senior generative AI engineers • Partner closely with Product Management and Project Management • Lead architecture and implementation for core AI systems, including: LLM-based workflows, RAG systems, AI agents, Evaluation and testing systems, Observability and performance monitoring, Model selection and routing, Data ingestion and retrieval systems • Own major parts of the company’s data ingestion pipeline into platform storage and analytics systems • Build infrastructure to host LLMs in the company’s new data center environment • Establish strong experimentation and measurement practices for AI features • Serve as an internal evangelist for effective use of AI agents inside the engineering organization

🎯 Requirements

• 15+ years of experience in software engineering, machine learning, AI, or closely related technical fields • Meaningful prior engineering management experience • Proven track record building and shipping production AI/ML systems • Strong hands-on depth with modern AI systems, especially in areas such as: LLMs, generative AI applications, RAG agents, model evaluation, observability, data pipelines / ETL, vector, graph, and relational data systems • Experience selecting, integrating, and operating external AI vendors and services with cost accountability • Experience evaluating and deploying open-source models in production or near-production environments • Strong system design judgment and the ability to move fluidly between architecture, implementation, and operational execution • Comfort operating in an early-stage, pre-revenue startup where speed, ownership, and technical judgment matter • Ability to lead senior engineers while remaining deeply involved in design and execution.

🏖️ Benefits

• AI is the core product capability • Hands-on leadership position • Opportunity to shape the technical direction • Partner closely with Product Management and Project Management