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

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Experience:<\/b> 4<\/span>+ Years

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Location: Hybrid (Hyderabad, India)<\/b>

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Availability:<\/b> <\/span>Immediate Joiner Only<\/b>

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About the Role<\/b>

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We are looking for a highly skilled <\/span>Full -Stack Developer<\/b> <\/span>with strong expertise in <\/span>React.js, Node.js, SQL, MongoDB, PostgreSQL<\/b>, 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.

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Key Responsibilities<\/b>

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Frontend (React.js)<\/b>

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

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

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• Implement reusable components, hooks, and UI libraries.

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• Optimize performance, SEO, and accessibility.

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Backend (Node.js)<\/b>

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• Build scalable REST APIs using <\/span>Node.js / Express.js / NestJS<\/b>.

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

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

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• Implement caching using <\/span>Redis<\/b>, job queues, or cron tasks.

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Database<\/b>

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• Strong expertise in <\/span>SQL<\/b> <\/span>with <\/span>PostgreSQL<\/b>.

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• Hands -on with <\/span>MongoDB<\/b> <\/span>(schema design, indexing, aggregation).

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

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• Experience with ORMs like <\/span>Prisma, Sequelize, Mongoose<\/b>.

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AI / LLM Integration<\/b>

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• Experience integrating <\/span>OpenAI, Claude, Gemini, Llama<\/b> <\/span>or other LLM APIs.

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

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

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

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DevOps & Deployment<\/b>

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• Basic knowledge of <\/span>Docker<\/b> <\/span>& CI/CD pipelines.

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• Deploy applications on <\/span>AWS / Azure / Vercel / Render / Railway<\/b>.

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• Setting variables, secrets management, and build optimizations.

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Requirements<\/h3>

Required Skills<\/b>

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• 2+ years professional experience<\/b> <\/span>in full -stack development.

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• Strong knowledge of:

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• React.js

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• Node.js

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• PostgreSQL (Advanced SQL skills)

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• MongoDB

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• HTML/CSS/JS/TypeScript

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• Good UI/UX understanding<\/b> <\/span>and design sense.

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• Excellent communication skills (English)<\/b> <\/span> written & verbal.

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• Immediate joining availability.

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• Experience consuming & building <\/span>REST APIs<\/b>.

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• Strong problem -solving and debugging skills.

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Preferred / Added Advantage<\/b>

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• Knowledge of <\/span>Next.js<\/b>.

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• Experience with micro services<\/b><\/span> <\/span>or message queues (Kafka, RabbitMQ).

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• Experience building <\/span>dashboard analytics<\/b>.

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• Knowledge of <\/span>Git / GitHub workflows<\/b>.

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• Understanding of <\/span>Agile / Scrum<\/b> <\/span>methodologies.

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• Ability to work independently and handle client communication.

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Role Expectations<\/b>

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

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• Deliver clean, maintainable, and scalable code.

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

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• Participate in estimate breakdown, planning, and documentation.

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

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Interview Process<\/b>

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Step 1: Application Review | 45 Days | Resume and profile screening based on role requirements

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Step 2: Initial Discussion | 3045 mins | Conversation to understand skills, experience, and expectations

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Step 3: Practical Task | 12 hours | Short assignment or live task focused on real -world problem solving

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

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

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

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Step 7: Offer & Onboarding