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Posted 7mo ago

AI-Focused Full-Stack Developer (React, Node, SQL, LLM Engineering)

@ Intellivie AI
Hyderabad, Telangana, India
₹10k/moHybridFull Time
Responsibilities:Develop frontend, Build APIs, LLM integration
Requirements Summary:4-5 years experience in full-stack development with React.js, Node.js, SQL databases; experience with LLM integration; strong English communication; Hyderabad, India location.
Technical Tools Mentioned:React.js, Redux, Bootstrap, TailwindCSS, Material UI, Node.js, Express.js, NestJS, Redis, Prisma, Sequelize, Mongoose, MongoDB, PostgreSQL, SQL, HTML, CSS, TypeScript, OpenAI, Claude, Gemini, Llama, Docker, AWS, Azure, Kafka, RabbitMQ, Weaviate, Chroma, Git, GitHub
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Job Description


Experience: 4+ Years
Location: Hybrid (Hyderabad, India)
Availability: Immediate Joiner Only


About the Role

We are looking for a highly skilled Full-Stack Developer with strong expertise in React.js, Node.js, SQL, MongoDB, PostgreSQL, and modern UI/UX principles. The ideal candidate should have hands-on experience building scalable applications, integrating third-party APIs, and working with LLM-based (AI) features. Excellent communication in English is a must.


Key Responsibilities

Frontend (React.js)

  • Develop high-quality, responsive, and user-friendly UI using React.js, Redux /  Bootstrap, TailwindCSS / Material UI.

  • Convert Figma / UI wireframes into pixel-perfect components.

  • Implement reusable components, hooks, and UI libraries.

  • Optimize performance, SEO, and accessibility.

Backend (Node.js)

  • Build scalable REST APIs using Node.js / Express.js / NestJS.

  • Integrate third-party APIs (payment gateways, CRM, SMS/Email, analytics, etc.).

  • Work with authentication & authorization (JWT, OAuth).

  • Implement caching using Redis, job queues, or cron tasks.

Database

  • Strong expertise in SQL with PostgreSQL.

  • Hands-on with MongoDB (schema design, indexing, aggregation).

  • Ability to write complex queries, stored procedures, optimization.

  • Experience with ORMs like Prisma, Sequelize, Mongoose.

AI / LLM Integration

  • Experience integrating OpenAI, Claude, Gemini, Llama or other LLM APIs.

  • Build prompt engineering workflows and structured responses (SQL, NoSQL, JSON).

  • Ability to convert LLM output into actionable dashboard/widgets/code.

  • Basic understanding of vector DBs (Chroma, Weaviate) is a plus.

DevOps & Deployment

  • Basic knowledge of Docker & CI/CD pipelines.

  • Deploy applications on AWS / Azure / Vercel / Render / Railway.

  • Environment variables, secrets management, and build optimizations.



Requirements

Required Skills

  • 2+ years professional experience in full-stack development.

  • Strong knowledge of:

    • React.js

    • Node.js

    • PostgreSQL (Advanced SQL skills)

    • MongoDB

    • HTML/CSS/JS/TypeScript

  • Good UI/UX understanding and design sense.

  • Excellent communication skills (English) – written & verbal.

  • Immediate joining availability.

  • Experience consuming & building REST APIs.

  • Strong problem-solving and debugging skills.


Preferred / Added Advantage

  • Knowledge of Next.js.

  • Experience with micro services or message queues (Kafka, RabbitMQ).

  • Experience building dashboard analytics.

  • Knowledge of Git / GitHub workflows.

  • Understanding of Agile / Scrum methodologies.

  • Ability to work independently and handle client communication.


Role Expectations

  • Take ownership of end-to-end modules (from UI → Backend → Deployment).

  • Deliver clean, maintainable, and scalable code.

  • Work closely with design, QA, and product teams.

  • Participate in estimate breakdown, planning, and documentation.

  • Flexible to work with AI-driven projects, AI tools, dashboard automation, and analytics.


Interview Process

Step 1: Application Review | 4–5 Days | Resume and profile screening based on role requirements

Step 2: Initial Discussion | 30–45 mins | Conversation to understand skills, experience, and expectations

Step 3: Practical Task | 1–2 hours | Short assignment or live task focused on real-world problem solving

Step 4: In-Depth Interview | 60 mins | Detailed discussion on approach, thinking, and role alignment

Step 5: Culture & Ownership | 30 mins | Communication style, ownership mindset, and team alignment

Step 6: Background Check | 7-10 Days | Employment, identity, and compliance verification

Step 7: Offer & Onboarding | 1–2 Days | Offer rollout, documentation, and onboarding kick-off