About the Role

Join Genspark to build next-generation AI-powered super agents. We're seeking software engineers with an AI-native development mindset who are passionate about LLM products and agent systems

What You'll Do:

• Design and implement scalable full-stack solutions with AI-first architecture for our super agent platform
• Build robust APIs and microservices for seamless LLM integration
• Contribute to the evolution of our AI agent's capabilities through experimentation with ML/RL techniques
• Collaborate across engineering, design, product, and GTM teams to deliver AI-enhanced solutions
• Drive continuous improvement through performance optimization and AI-native development practices

Qualifications

Required:

• Bachelor's/Master's in Computer Science, Software Engineering, Machine Learning, or related field
• 3+ years full-stack engineering experience with end-to-end product development
• AI-native development mindset: Proficient with AI vibe coding for development and debugging
• Strong engineering skills:
• Frontend: modern frameworks such as React/Vue/Angular
• Backend: Python (required), Go, C++ or Java
• RESTful APIs, microservices architecture
• LLM product passion: Hands-on experience with ML frameworks and model deployment

Preferred:

• Agent development experience: Building production LLM applications and agent systems
• Post training expertise: RLHF, reward modeling, SFT, instruction tuning, and domain adaptation techniques, model evaluation, training data engineering
• Contributions to open-source AI/ML projects

What Makes You Stand Out:

• You have a track record of shipping AI-powered products to production
• You bridge traditional software engineering with modern ML systems
• You thrive in fast-paced environments where AI capabilities evolve rapidly

Genspark is building the future of AI-native applications. If you're passionate about leveraging AI to build better software faster, we'd love to hear from you.