1 open role
AI-Focused Full-Stack Developer (React, Node, SQL, LLM Engineering)
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
Description copied from Intellivie AI's careers page. Read the full posting before you apply.
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