Senior Software Developer - Full Stack & AI Product Engineering
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro-based mid-level fullstack AI role with broad, popular skillset attracts strong applicant competition.
Core Node/React/AWS skills are transferable, but LLM and Elasticsearch product experience increases domain specificity.
Mandatory years, specific tech stack, and end-to-end AI product requirements create high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and own backend services and APIs using Node.js and TypeScript, including scalable data models and Elasticsearch-based search systems.
Build end-to-end production-ready AI products leveraging LLMs, AI agents, APIs, and AWS infrastructure from architecture to deployment and iteration.
Develop frontend experiences using React and Gatsby, and manage cloud infrastructure on AWS ensuring system reliability, performance, and cost efficiency.
Minimum Requirements
1-3 years of experience building web applications with Node.js, TypeScript (backend), and React (frontend).
Proven hands-on experience building AI products end-to-end using LLMs, AI agents, and APIs, including production deployment and iteration.
Strong proficiency in JavaScript/TypeScript (ES6+), RESTful API design, SQL database schema and queries, Elasticsearch, and AWS cloud deployment.
Location: Delhi, India. Work Experience Required: 1-3 years.
Ideal Candidate Profile
Backend-heavy full-stack engineer with demonstrated ability to independently own AI product engineering projects from idea to production.
Strong engineering fundamentals with focus on clean, maintainable code, scalable systems, and product impact measurement.
Comfortable managing technical architecture decisions and operational responsibilities in a fast-moving startup environment.
