Full Stack Developer

About the Role

OctaSence is building an Agentic AI + IoT + Geotechnical Intelligence + Digital Twin platform for Structural Health Monitoring of critical infrastructure. We’re looking for a Full Stack Developer to help build and scale our core product.

Key Responsibilities

• Design, build, and ship features across our SaaS dashboard and backend services.
• Develop and maintain REST APIs, database schemas, and real-time data pipelines for IoT/sensor data.
• Work with AI/ML components, integrating LLM-based agents, RAG pipelines, or model outputs into product features.
• Deploy and manage services on AWS; ensure performance, scalability, and reliability.
• Collaborate closely with founders and engineering team on architecture and technical decisions.
• Write clean, maintainable, well-documented code across the stack.

Requirements & Tech Stack

• 0–2.5 years of professional experience in full stack development; freshers must show equivalent hands-on work through internships or substantial projects.
• Strong proficiency in React.js (or equivalent frontend framework) and Tailwind/CSS.
• Backend experience with Node.js or Python; solid understanding of REST API design.
• Working knowledge of SQL/NoSQL databases and schema design.
• Familiarity with cloud platforms (AWS preferred): EC2, S3, Lambda, or equivalent.
• Version control (Git) and standard software engineering practices (testing, code review, CI/CD basics).
• Strong solutioning ability: able to break down open-ended problems, evaluate trade-offs, and design clean technical solutions independently, even outside familiar domains.
• Strong problem-solving and debugging skills; comfortable owning features end-to-end.

Qualifications

• Mandatory: Completed B.Tech / B.E. / M.Tech in Computer Science, IT, or a related field from a Tier-1 institute (IITs, NITs, IIITs, BITS).
• Strong academic record with demonstrated technical depth (projects, internships, open-source contributions, or competitive programming).

Good to Have

• Experience working with LLM APIs (OpenAI, Anthropic Claude, etc.), agentic frameworks, or vector databases.
• Exposure to MCP (Model Context Protocol), prompt engineering, or building AI-powered features.
• Experience with real-time systems, WebSockets, or IoT data pipelines.
• Data visualization experience (Recharts, D3, or similar).
• Familiarity with Docker and containerized deployments.

What We Offer

• High ownership and direct impact on a fast-growing product.
• Opportunity to work at the intersection of AI, IoT, and infrastructure tech.
• Small, focused team with fast decision-making and real technical challenges.