Full-Stack + AI Engineer
Remote · Full-time
- Posted 1mo ago
- From Gnani.ai’s careers page
- Work mode
- Remote
- Type
- Full-time
- Experience
- 2+ years
- Department
- Software Development
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Opens the listing on careers.gnani.ai
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About the role
Roles and Responsibilities:
- At Gnani.ai, you'll help build consumer-facing (B2C) mobile apps that bring AI-powered experiences directly to everyday users. As a Software Engineer on our Full-Stack + AI team, you'll help build new AI products from the ground up (0 to 1) – designed from day one to scale to millions of users.
- Own end-to-end features, from data modeling and backend APIs to frontend UI, for products being built from scratch
- Design and build AI agent workflows and integrate them into production-grade product experiences
- Build voice agents architected to scale to millions of users
- Make architecture and design decisions alongside the team for products built to scale to millions of users
- Mentor interns and/or junior engineers — or work closely with senior engineers to grow into a mentoring role
- Iterate fast — from prototype to production — in a 0-to-1 product environment
Required Skills
- Bachelor’s / Master’s degree in Computer Science Engineering or a related field
- 2+ years of professional experience building full-stack applications
- Strong proficiency in TypeScript, React, Next.js
- Solid backend experience with Python and FastAPI
- Working knowledge of PostgreSQL and MongoDB or similar relational/NoSQL databases
- Hands-on experience with at least one AI agent framework (LangChain, LangGraph, Pydantic AI, or equivalent)
- Regular use of an AI coding assistant (e.g., Claude Code, Cursor, or similar) as part of your development workflow
- Experience mentoring an intern, junior engineer, or peer — or clear readiness to take on mentorship
Good to Have
- Exposure to cloud platforms (AWS/GCP)
- Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.)
- A portfolio of unique, self-built projects (side projects, hackathon builds, open source)
- Experience building voice agents using frameworks like LiveKit Agents, Pipecat, Vapi, Retell, or similar
- Experience scaling systems to handle high-traffic, production workloads
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About Gnani.ai
Enterprise voice AI and speech technologyGnani.ai develops enterprise voice AI, speech recognition and text-to-speech products and services for businesses.
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