Full Stack Engineer

Full Stack Engineer (Immediate Joiners)

Experience:2-4 Years

Location: Bangalore

About us:

We are building data and human-in-the-loop infrastructure for frontier AI companies. We work across expert annotation, model evaluation, RLHF/SFT, voice, video, coding, education, medical, and multilingual AI workflows.

Role Overview:

We are hiring strong Full Stack Engineers to build our core platform. You will work on systems powering expert onboarding, workflow management, annotation, quality review, reporting, and AI-assisted operations.

This is a high-ownership role for engineers who enjoy building products from scratch, shipping fast, and working closely with product and business teams.

Must-Have Skills:

• 2-4 years of software engineering experience.
• Strong proficiency in:
• Frontend:React.js, Next.js, TypeScript
• Backend:Node.js (Python experience is also acceptable)
• Experience building and consuming APIs.
• Strong understanding of databases, authentication, systemdesign, and scalable architectures.
• Ability to write clean, maintainable, production-grade code.
• High ownership and problem-solving mindset.

AI Experience (Required):

• Hands-on experience building AI-powered products/features or working with LLMs.
• Regular use of AI-assisted development tools such as Cursor, Claude Code, GitHubCopilot, Windsurf, etc.
• Ability to accelerate development cycles using AI while maintaining engineering quality.

Key Responsibilities:

• Build and scale onboarding, qualification, task allocation, and review workflows.
• Develop modern web applications and internal platforms.
• Create dashboards for quality, productivity, project tracking, and reporting.
• Build backend services for authentication, permissions, workflow orchestration, and audit logging.
• Integrate AI-powered features and automation into core workflows.
• Own features end-to-end from design to deployment.

Preferred Experience:

• Workflow tools, internal platforms, marketplaces, dashboards, or B2B SaaS products.
• Annotation platforms, AI evaluation systems, RLHF/SFT pipelines, or human-in-the-loop workflows.
• Exposure to multimodal AI systems (text, code, audio, video).