• Compensation: ₹5L – ₹10L

Location: Anywhere India. Remote. Mumbai/Ahmedabad preferred Type: Full-time Experience: 2+ years (recent graduates with strong internship/project experience welcome)

Build What Comes After Generative AI The first wave of AI learned to generate. The next will learn to perceive, reason, coordinate, and act in the physical world.

We are building an intelligence platform at the intersection of frontier AI, autonomous systems, robotics, edge computing, sensing, and real-world operations. Our ambition is to create a new category: Mission Superintelligence—technology that helps humans and intelligent machines understand complex environments, make better decisions, and coordinate action across the physical world.

About the Role

We're looking for a Full Stack AI Engineer to help us build and scale our web application. You'll own new feature development end-to-end — from database and API design through to polished, responsive UI — while keeping our existing product stable, fast, and maintainable.

This is a hands-on role for someone who is comfortable across the whole stack and genuinely excited about building with modern AI tooling. You'll work directly with LLMs, use AI-assisted development workflows day to day, and ship features that put AI to work for our users.

What You'll Do

• Design, build, and ship new features for our web app across the full stack (frontend, backend, database).
• Maintain, debug, and improve the existing application — fixing issues, improving performance, and paying down technical debt.
• Build and integrate LLM-powered features into the product.
• Design clean REST/JSON APIs and efficient PostgreSQL schemas and queries.
• Own deployments and keep environments healthy (Railway, Docker).
• Write readable, tested, well-documented code and participate in code reviews.
• Collaborate closely with product and design to turn ideas into working features quickly.
• Use AI-assisted development tools (e.g., Claude Code) to move faster without sacrificing quality.

Required Skills & Experience

• 2+ years of professional full stack development experience, or a strong portfolio of projects/internships for recent graduates.
• Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
• Frontend: Strong proficiency with React.js and Next.js, including modern hooks, component architecture, and responsive UI.
• Backend: Solid Python experience building backend services and APIs (e.g., FastAPI, Django, or Flask).
• Database: Hands-on experience with PostgreSQL — schema design, writing and optimizing queries, migrations.
• Deployment: Experience deploying and managing apps on Railway (or similar PaaS) and containerizing services with Docker.
• AI/LLM: Practical experience working with LLMs and AI models — calling model APIs, prompt engineering, and integrating AI into real features.
• Comfort using AI-assisted coding tools such as Claude Code in your day-to-day workflow.
• Strong fundamentals: Git/version control, debugging, writing clean and maintainable code.
• Good communication skills and the ability to work independently and own features end-to-end.

Nice to Have

• Experience with TypeScript.
• Familiarity with retrieval-augmented generation (RAG), vector databases (e.g., pgvector, Pinecone), or agent frameworks.
• Experience with CI/CD pipelines and automated testing.
• Exposure to cloud platforms (AWS, GCP, or Azure).
• Experience with authentication/authorization, API security, and rate limiting.
• Familiarity with observability/monitoring tools (logging, error tracking, performance monitoring).
• An eye for UI/UX and design systems (e.g., Tailwind CSS, shadcn/ui).

What We Offer

• Competitive Salary
• Equity/bonus based on performance after the first year.
• Health, PTO, and other benefits
• The chance to build real AI products and grow quickly in a small, high-ownership team.

This Is Your Role If

You do not want your best work to be another incremental feature. You want to build at the boundary between intelligence and action. You want to help answer how AI will interact with machines, infrastructure, and the physical world. You want to look back years from now and know that you helped create a category before the rest of the market knew it existed.

How to Apply

Do not send a generic cover letter

• Tell us: What is the hardest product you have helped build? What did you personally own? What did you initially misunderstand? What evidence changed your product direction? Why do you believe the next era of AI will move into the physical world? Why should you be of the people who helps build it?

• 2+ years of professional full stack development experience, or a strong portfolio of projects/internships for recent graduates.
• Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
• Frontend: Strong proficiency with React.js and Next.js, including modern hooks, component architecture, and responsive UI.
• Backend: Solid Python experience building backend services and APIs (e.g., FastAPI, Django, or Flask).
• Database: Hands-on experience with PostgreSQL — schema design, writing and optimizing queries, migrations.
• Deployment: Experience deploying and managing apps on Railway (or similar PaaS) and containerizing services with Docker.
• AI/LLM: Practical experience working with LLMs and AI models — calling model APIs, prompt engineering, and integrating AI into real features.
• Comfort using AI-assisted coding tools such as Claude Code in your day-to-day workflow.
• Strong fundamentals: Git/version control, debugging, writing clean and maintainable code.
• Good communication skills and the ability to work independently and own features end-to-end.
• Experience with TypeScript.
• Familiarity with retrieval-augmented generation (RAG), vector databases (e.g., pgvector, Pinecone), or agent frameworks.
• Experience with CI/CD pipelines and automated testing.
• Exposure to cloud platforms (AWS, GCP, or Azure).
• Experience with authentication/authorization, API security, and rate limiting.
• Familiarity with observability/monitoring tools (logging, error tracking, performance monitoring).
• An eye for UI/UX and design systems (e.g., Tailwind CSS, shadcn/ui).