[Hiring] Freelance Senior AI Engineer | Multi-agent systems @Zapdeck

Role Description

If you're excited about building real-world AI products at the forefront of generative AI, this role is for you. As a freelance contributor, you will help build and scale the core AI systems behind the product. You'll work on:

• Advanced agentic workflows
• LLM orchestration
• Retrieval systems
• AI infrastructure that directly powers customer-facing features used every day by professionals around the world

You'll collaborate closely with an experienced founding team and have significant ownership over the systems you build. If you enjoy solving challenging AI problems and shipping products that create real value for customers, you'll feel right at home at Zapdeck.

Tasks include:

• 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 on multi-agent systems using 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

Qualifications

• Entrepreneurial mindset with strong ownership, creative thinking, and a pragmatic approach to building and shipping solutions quickly
• At least 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 such as 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

Requirements

• Fluency in English, our 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 we onboard large enterprise customers
• Opportunity to work closely with the founding team and contribute to key technical and product decisions that shape the future of the company