Full Stack Engineer (JavaScript Stack, AI-Native)

The Role:

We’re looking for a strong Full Stack Engineer who’s comfortable owning features end-to-end. This role sits at the intersection of modern JavaScript development and AI-driven systems. You’ll build, scale, and maintain production applications while working closely with product, design, and data teams.

This is not a support role. You’ll be expected to think in systems, make technical decisions, and write clean, maintainable code.

Responsibilities:

• Design, build, and maintain full-stack applications using modern JavaScript frameworks

• Own features from the requirement discussion through deployment and post-release improvements

• Develop scalable backend services, APIs, and data models

• Build responsive, performant frontends with a strong focus on usability

• Integrate AI capabilities into products (LLMs, embeddings, agents, or ML APIs)

• Work with cloud infrastructure, CI/CD pipelines, and production monitoring

• Review code, improve engineering standards, and mentor junior engineers

• Collaborate closely with product managers and designers to shape solutions

• Troubleshoot production issues and improve system reliability

Technical Requirements:

Core Stack:

• Must have at least 6 years of experience

• Strong proficiency in JavaScript / TypeScript

• Frontend experience with React, Next.js, or similar frameworks

• Backend experience with Node.js (Express, NestJS, or equivalent)

• Solid understanding of REST and/or GraphQL APIs

• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.)

AI-Native Experience:

• Hands-on experience integrating AI features into real products

• Working knowledge of LLMs, prompt design, embeddings, and vector database

• Experience using AI APIs or frameworks (OpenAI, LangChain, similar tooling)

• Understanding of AI system limits, latency, cost, and evaluation approaches Infrastructure & Engineering

• Experience with cloud platforms (AWS, GCP, or Azure)

• Familiarity with Docker and modern deployment workflows

• Experience setting up or working with CI/CD pipelines

• Strong understanding of performance, security, and scalability basics

Soft Skill Requirements:

• Someone who can work independently with minimal supervision

• Strong problem-solving and debugging skills

• Clear communicator who can explain technical trade-offs

• Product-minded engineer who cares about outcomes, not just code

• Comfortable working in fast-changing environments

Nice to Have:

• Experience with event-driven systems or message queues

• Exposure to data pipelines or analytics systems

• Prior experience in AI-first or AI-enabled products

• Open-source contributions or technical writing

Originally posted on Himalayas