Job Openings Full-Stack Developer AI & Automation

About the job Full-Stack Developer AI & Automation

About the Company:

ResultsIQ.ai is a fast-growing AI and Automation services company on a mission to help businesses of all sizes transform operations, reduce costs, and future-proof success through innovative technologies. With a strategic blend of creativity and precision execution, ResultsIQ.ai delivers impactful, tailored solutions across a wide range of industries.

About the Role:

As a Full-Stack Developer at ResultsIQ.ai, youll thrive in a fast-paced, high-growth environment where versatility is key. This dynamic role combines technical development, solution architecture, and sales engineering. From early-stage client interactions and solution design to development, deployment, and ongoing support, you will be at the forefront of delivering cutting-edge AI and automation solutions.

Key Responsibilities:

  • Act as a technical expert during client discovery and proposal development.
  • Translate business challenges into scalable AI/automation solutions.
    Estimate development time and technical requirements for new projects.
  • Build and deploy AI-powered web applications and end-to-end automation systems.
  • Develop integrations across APIs, third-party platforms (e.g., CRMs, ERPs), and AI tools (OpenAI, Azure, etc.).
  • Ensure scalability, security, and maintainability of solutions.
  • Lead full development lifecyclefrom kickoff to delivery.
  • Maintain clear communication with stakeholders and ensure seamless execution.
  • Troubleshoot and resolve technical issues post-launch.
  • Stay current on emerging AI and automation technologies.
  • Contribute new ideas, tools, and prototypes to enhance ResultsIQ.ais offerings.

Qualifications:

  • 3+ years of full-stack development experience, preferably in consulting or project-based roles.
  • Strong technical proficiency in: Front-End: React, Vue, or similar JS frameworks andBack-End: Node.js, Python, or similar.
  • APIs & Integrations: REST, GraphQL, webhooks, etc.
  • Databases: SQL and NoSQL.
  • Experience with AI/ML APIs (e.g., OpenAI, Azure Cognitive Services, LangChain) is a strong plus.
  • Familiarity with automation tools like Zapier, Make, or other low-code platforms.
  • Fluent in English (written and spoken).