Own the stack, ship production features across AI products, and shape the product with the founding team.
Role overview
Manthana.Ai builds AI-native products that prioritize local-first processing, user privacy, and performance. Our portfolio spans desktop RAG experiences, compliance-first cybersecurity platforms, and enterprise web applications for customers across multiple industries.
This role is for a builder who wants ownership, not a narrow ticket queue. You will work across multiple products, move between frontend and backend contexts comfortably, and help turn ideas into shipped systems.
What you'll own
- Architect and deliver full-stack features end to end, from schema decisions to polished UI.
- Lead frontend implementation across product surfaces with a strong focus on performance, accessibility, and production readiness.
- Design and implement RESTful and real-time APIs that hold up in enterprise environments.
- Integrate AI workflows such as RAG pipelines, vector search, and local model-powered experiences.
- Own deployment and CI/CD flows across our infrastructure, Cloudflare, and containerized environments.
- Contribute directly to product and architecture decisions with the founding team.
- Mentor interns and junior engineers through reviews, pairing, and technical standards.
- Work with customers when enterprise projects need strong technical ownership.
Must-have qualifications
- 2+ years of professional full-stack development on production systems.
- Strong MERN experience, including schema design, API development, advanced React patterns, and practical Node.js engineering.
- Solid Next.js experience with App Router, API routes, SSR or SSG, middleware, and production deployment.
- Strong API design instincts across authentication, authorization, error handling, and third-party integrations.
- Comfort with both SQL and NoSQL data models, including production experience with MongoDB and working familiarity with PostgreSQL.
- Confidence with Git workflows, code reviews, Docker basics, CI/CD, and cloud deployment patterns.
- Good product sense. You think about users, outcomes, and why a feature matters before building it.
Preferred qualifications
- Production TypeScript experience in React and Node environments.
- Familiarity with Tauri or Electron for cross-platform desktop products.
- Working knowledge of Python and FastAPI.
- Understanding of embeddings, RAG architectures, and local AI model deployment.
- Experience with agentic coding workflows and practical LLM usage.
- Open-source contributions or strong public side projects.
What we offer
- High ownership with zero bureaucracy.
- A wide spread of technical challenges across AI, desktop, web, and enterprise delivery.
- Direct influence on product direction and architecture.
- A ground-floor opportunity to grow into leadership as the team scales.
- Competitive compensation aligned to experience and the value you can ship.