Job Title : Full-Stack Developer - AI Prototyping Engineer
About Behavioral Signals
At Behavioral Signals, we are not just developing tools—we are crafting the essential cognitive components that pave the way for Artificial General Intelligence (AGI). Our pioneering Behavioral AI platform models complex human behaviors such as intent, emotion, and decision-making patterns, providing the foundation for emotionally intelligent and context-aware systems. As a Gartner Cool Vendor, our technology is transforming how machines perceive and respond to human communication, thereby redefining trust and authenticity across various industries.
Position Overview
We are seeking a Full-Stack AI Prototyping Engineer who thrives in fast-paced, exploratory environments and is passionate about creating functional and intuitive MVPs that integrate cutting-edge AI technologies. In this role, you will independently lead the design, development, and deployment of full-stack prototypes that harness our proprietary Behavioral Signals API and the broader AI ecosystem. You will work with minimal supervision to deliver high-quality, production-grade demos that drive innovation and product discovery.
Key Responsibilities
- Design, develop, and deploy full-stack MVPs and functional prototypes independently.
- Integrate AI tools and APIs—including proprietary Behavioral Signals APIs—into demo applications and platforms.
- Utilize AI-powered development tools (e.g., GitHub Copilot, Claude, Cline) to enhance productivity while maintaining code quality.
- Manage end-to-end development including backend architecture, database design, and responsive frontend interfaces.
- Translate high-level conceptual requirements into functional software solutions.
- Iterate rapidly on prototypes based on stakeholder feedback and performance metrics.
- Ensure clean, maintainable, and scalable codebase using best software development practices.
- Collaborate across cross-functional and remote teams in an agile environment.
Required Qualifications
Minimum 3+ years of professional experience in software development with advanced expertise in Python.Strong proficiency with modern frontend frameworks such as React, Vue, or Angular.Demonstrated experience in independently building and deploying MVPs or prototypes.Experience with AI / ML tools and frameworks, such as TensorFlow, PyTorch, LlamaIndex, LangChain, or CrewAI.Proficiency with cloud infrastructure (AWS, Azure, or GCP), Docker / Kubernetes, and CI / CD pipelines.Strong analytical and problem-solving skills with a hacker mindset—self-directed, agile, and product-focused.Ability to pass a comprehensive technical coding assessment.Preferred Qualifications
Previous experience with speech processing, emotional intelligence engines, or behavioral analytics.Familiarity with data engineering workflows, especially those involving large speech or audio datasets.Contributions to open-source projects or personal GitHub repositories showcasing prototype or demo applications.Experience working in agile teams and with geographically distributed stakeholders.