Freelance Senior AI Engineer | Multi-agent systems

About Zapdeck

Zapdeck is a premier AI platform for professional presentation creation, enabling teams to transform ideas into high-quality, on-brand presentations rapidly. We empower professionals worldwide to create presentations more efficiently and are pushing the boundaries of AI-powered content generation and layout design.

About the Role

As a freelance contributor, you will be crucial in building and scaling the core AI systems that power Zapdeck's product. You will focus on advanced agentic workflows, LLM orchestration, retrieval systems, and AI infrastructure that directly supports customer-facing features. You will collaborate closely with the experienced founding team, have significant ownership over the systems you develop, and contribute to shaping the product's future.

Tasks

• Build and scale AI systems: Design, implement, and optimize core components of our agentic AI architecture with a focus on performance and reliability.
• Develop agentic workflows: Build multi-agent systems utilizing LLMs, orchestration frameworks (LangGraph), RAG, and context engineering.
• Ship advanced AI features: Develop innovative capabilities such as layout optimization, structured reasoning flows, and multimodal workflows.
• Contribute to product evolution: Collaborate closely with product and engineering teams to shape features through experimentation and rapid iteration.
• Drive continuous improvement: Help refine best practices for evaluation, deployment, monitoring, and scaling of AI systems in production.

Requirements

Professional Requirements

• Entrepreneurial mindset with strong ownership, creative thinking, and a pragmatic approach to building and shipping solutions quickly.
• Minimum 2 years of experience building production-grade AI systems, with a strong focus on Large Language Models.
• Proven experience designing and delivering agentic architectures and multi-step reasoning pipelines.
• Hands-on experience with orchestration frameworks like LangGraph and retrieval systems (RAG/REC).
• Strong understanding of prompt engineering, evaluation strategies, and LLM reliability optimization.
• Bonus: Experience with fine-tuning LLMs or working with multimodal/visual AI models.

Other Requirements

• Fluency in English (primary business language).
• Availability to start on short notice.

Benefits

• High level of ownership and creative freedom within a young, ambitious team, with the opportunity to help build a successful AI company from the ground up.
• Agile, output-driven work culture with minimal meetings, low administrative overhead, and direct impact on the product.
• Early-stage startup exposure, including building and scaling core product functions while onboarding large enterprise customers.
• Opportunity to work closely with the founding team and contribute to key technical and product decisions shaping the company's future.