Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.

What You’ll Do

• Design, build, and maintain backend services and infrastructure that power our agent and AI systems.
• Develop and deploy algorithms and models, integrating them seamlessly into production environments.
• Collaborate closely with the AI research, product, and platform teams to design custom and proprietary solutions for our agents.
• Work on end-to-end system architecture - from data pipelines and model serving to inference and optimization.
• Contribute to the development of tools and frameworks for deploying, monitoring, and evaluating LLM-powered applications.
• Drive innovation by improving agentic AI systems, advancing capabilities such as reasoning, autonomy, and coordination.
• Experiment with and apply context engineering techniques to enhance LLM understanding, consistency, and performance in dynamic environments.
• Bring research ideas into production reality through rapid prototyping and iteration.
  
  

What We’re Looking For

• 5+ years of experience in software engineering or technical problem-solving roles
• Strong fundamentals in software design, system thinking
• Experience working across systems, integrations, and data flows
• Comfort working directly with customers and owning ambiguous problems
• Clear communication skills and a strong ownership mindset
• Curiosity and interest in building AI-powered systems that work in practice