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REQUIREMENT_ID_2104 • 3-DAY_ACTIVE_POLICY N

Full Stack Developer- AI/LLM/RAG

Company
Company Ramxora Ai
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary Competitive Package (Best in Industry)
Location
Location Bengaluru, India
Posted Date
Posted Date Today
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Experience: 2-3 Yrs. Open to matching qualifications.

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Online Assessment / Technical Interview Rounds / HR Review
JOB DESCRIPTION Full Stack Developer - Next.js / Node.js / AI / LLM / RAG/Python Company: Ramxora Private Limited (Ramxora.AI) Location: Mahadevapura, Bengaluru, Karnataka Work Mode: Onsite Experience: 2-4 Years Employment Type: Full-Time Working Days: Monday to Friday About the Company Ramxora.AI is an AI and software product development company building modern SaaS platforms, enterprise applications, AI-powered products, automation solutions, and intelligent digital experiences. We are looking for a Full Stack Developer who can work across frontend, backend, databases, APIs, and AI/LLM integrations to develop scalable, secure, and high-performance applications. Job Summary We are seeking a skilled Full Stack Developer with strong expertise in Next.js, React.js, Node.js, and AI/LLM/RAG /Python technologies . The candidate will be responsible for designing, developing, integrating, testing, and maintaining complete web applications. The role requires strong frontend and backend development capabilities along with practical knowledge of integrating Large Language Models, Generative AI, RAG pipelines, embeddings, vector databases, and AI APIs into production applications. The ideal candidate should be comfortable working in a fast-paced product environment and collaborating with UI/UX designers, Project Managers, Technical Leads, AI/ML Engineers, QA Engineers, and DevOps teams. Key Responsibilities 1. Frontend Development Develop responsive and scalable web applications using React.js and Next.js . Build reusable, maintainable, and high-performance UI components. Implement modern frontend architecture and state management. Work with Next.js routing, SSR, SSG, API routes, middleware, and server-side functionality. Integrate frontend applications with REST APIs and backend services. Implement responsive designs based on UI/UX specifications. Optimize applications for performance, SEO, accessibility, and scalability. Handle authentication, authorization, sessions, and role-based access control. Debug and resolve frontend issues across browsers and devices. 2. Backend Development Candidates with strong backend development experience in Node.js OR Python (FastAPI/Django/Flask) can be considered for the position. Develop scalable and high-performance backend applications using Python with FastAPI, Django, and Flask . Build robust RESTful APIs , backend services, and microservices for SaaS and enterprise applications. Design secure, modular, reusable, and maintainable backend architectures. Develop APIs using FastAPI with asynchronous programming, dependency injection, request validation, and automatic API documentation. Develop web applications and backend systems using Django , including Django REST Framework (DRF), ORM, middleware, authentication, and admin functionality. Develop lightweight and modular backend services using Flask and its extensions where required. Implement authentication, authorization, JWT/OAuth, role-based access control, input validation, logging, and error handling . Design and develop database models, schemas, relationships, migrations, and optimized database queries. Integrate third-party APIs, external services, payment gateways, cloud services, and enterprise systems . Develop business logic, reusable backend modules, services, utilities, and APIs for scalable SaaS applications. Optimize API performance, database queries, memory usage, and response times . Implement asynchronous programming, background tasks, job queues, scheduled jobs, and event-driven architecture where required. Work with Celery, Redis, RabbitMQ, Kafka , or similar background-processing and messaging technologies. Implement proper API versioning, pagination, filtering, caching, rate limiting, and request/response handling . Write clean, modular, reusable, and well-documented Python code following PEP 8 and industry best practices . Develop and maintain unit tests, integration tests, API tests, and automated testing frameworks . Implement secure coding practices to protect backend applications against common vulnerabilities such as SQL Injection, XSS, CSRF, authentication issues, and unauthorized access . Work with Git, CI/CD pipelines, Docker, cloud platforms, monitoring, and deployment environments . Troubleshoot production issues, analyze logs, identify root causes, and implement reliable backend solutions. Collaborate with Frontend, AI/ML, DevOps, QA, Product, and other engineering teams to deliver end-to-end applications. 2. Backend Development Develop scalable backend applications using Node.js . Build RESTful APIs and backend services. Design secure and reusable API architectures. Implement authentication, authorization, validation, logging, and error handling. Integrate third-party APIs and external services. Develop business logic and backend modules for SaaS and enterprise applications. Optimize backend performance and API response times. Work with asynchronous programming, background jobs, queues, and event-driven architecture where required. Candidates with strong backend development experience in Node.js OR Python (FastAPI/Django/Flask) can be considered for the position. 3. AI / LLM Integration Integrate LLM and Generative AI capabilities into web applications. Work with APIs from OpenAI and other LLM providers. Develop AI-powered features such as: AI assistants Chatbots Intelligent search Content generation Document analysis Summarization Question answering AI recommendations Classification and extraction Develop effective prompts and structured AI workflows. Handle LLM responses, streaming, context management, token limitations, and error handling. Integrate AI functionality into frontend and backend applications. 4. RAG Development Develop and integrate Retrieval-Augmented Generation (RAG) applications. Work with document ingestion and processing pipelines. Implement: Document parsing Text chunking Embeddings Semantic search Retrieval Context generation LLM response generation Work with vector databases such as Pinecone, Qdrant, Weaviate, Chroma, FAISS , or equivalent technologies. Improve retrieval quality, relevance, latency, and response accuracy. Implement metadata filtering and hybrid search where required. Build knowledge-base and enterprise document intelligence solutions. 5. Database Development Work with MongoDB and/or MySQL/PostgreSQL . Design database schemas and data models. Develop efficient queries and indexes. Implement CRUD operations and transaction handling. Optimize database performance. Work with data relationships, aggregation, pagination, and search. Ensure data integrity and secure database access. 6. API & System Integration Develop and consume REST APIs. Integrate third-party services, payment APIs, authentication services, cloud services, and AI APIs. Work with JSON, HTTP, WebSockets, and asynchronous APIs. Implement API validation, security, rate limiting, logging, and monitoring. Coordinate with frontend, backend, AI/ML, QA, and DevOps teams for end-to-end integration. 7. Security & Performance Follow secure coding practices. Protect APIs and applications against common web vulnerabilities. Implement authentication and authorization mechanisms. Secure API keys, tokens, credentials, and sensitive information. Optimize frontend rendering, API performance, database queries, and AI response latency. Participate in code reviews and technical quality checks. 8. Testing & Debugging Write clean and testable code. Perform unit, integration, and functional testing. Debug frontend, backend, API, database, and AI integration issues. Work closely with QA teams to resolve defects. Ensure applications meet functional, performance, and security requirements. 9. Deployment & Collaboration Collaborate with DevOps engineers for application deployment and production releases. Understand basic Docker, CI/CD, cloud deployment, and environment configuration. Work with Git and Git-based development workflows. Participate in Agile/Scrum meetings, sprint planning, code reviews, and technical discussions. Prepare technical documentation when required. Required Technical Skills Frontend React.js Next.js JavaScript / TypeScript HTML5 CSS3 Responsive Web Development State Management REST API Integration Backend-Candidates with strong backend development experience in Node.js OR Python (FastAPI/Django/Flask) can be considered for the position. Node.js Express.js or equivalent Node.js framework REST API Development Authentication & Authorization API Security Asynchronous Programming Backend Python-Candidates with strong backend development experience in Node.js OR Python (FastAPI/Django/Flask) can be considered for the position. Python FastAPI, Django, or Flask any one framework experience is sufficient REST API Development Authentication & Authorization API Security Asynchronous Programming Database Integration & ORM API Validation & Error Handling Backend Business Logic Development Third-Party API Integration Background Tasks & Job Processing Performance Optimization Logging & Exception Handling API Documentation (Swagger/OpenAPI) Unit & Integration Testing AI / LLM Generative AI fundamentals LLM APIs Prompt Engineering LLM application development AI API integration Context management Streaming responses Structured LLM outputs RAG Retrieval-Augmented Generation Embeddings Vector Search Semantic Search Document Processing Chunking & Retrieval Vector Databases Knowledge Base Development Database MongoDB MySQL / PostgreSQL Database Design Query Optimization Indexing Development Tools Git / GitHub / GitLab Postman VS Code or equivalent IDE npm / yarn / pnpm Docker basic understanding preferred Preferred Skills Candidates with experience in the following will have an advantage: TypeScript Python for AI/LLM integration LangChain / LangGraph or equivalent frameworks OpenAI APIs or other LLM APIs Pinecone / Qdrant / Weaviate / Chroma / FAISS AI Agents Function Calling / Tool Calling MCP concepts WebSockets Redis Docker AWS / Azure / GCP CI/CD Microservices SaaS product development Multi-tenant application architecture Required Soft Skills Strong problem-solving and analytical skills. Good understanding of software development life cycle. Ability to independently troubleshoot technical issues. Strong communication and collaboration skills. Ability to understand product requirements and convert them into technical solutions. Willingness to learn new AI and software technologies. Ability to work under deadlines and manage multiple priorities. Strong attention to code quality and application performance. Good documentation and knowledge-sharing practices. Education Bachelor's degree or equivalent in: Computer Science Information Technology Software Engineering Artificial Intelligence Data Science Electronics / related technical field Relevant practical experience and strong technical skills may also be considered. Experience 24 years of professional experience in full-stack web development. Candidates should demonstrate practical experience with: React.js + Next.js + Node.js + Database + REST APIs and preferably hands-on experience with: AI / LLM / RAG / Embeddings / Vector Databases. Key Performance Expectations The selected candidate will be expected to: Deliver production-ready full-stack features. Build scalable frontend and backend modules. Develop reliable REST APIs. Integrate AI/LLM capabilities into applications. Build and maintain RAG-based features. Write clean, reusable, and maintainable code. Resolve technical issues efficiently. Participate actively in code reviews and technical discussions. Meet sprint and project delivery timelines. Maintain application security, performance, and reliability. Interview Evaluation Areas Candidates may be evaluated on: React.js fundamentals Next.js architecture and advanced concepts JavaScript / TypeScript Node.js and backend development REST API design MongoDB / MySQL / PostgreSQL Authentication and authorization Git and development workflow System design and application architecture AI/LLM integration Prompt engineering RAG architecture Embeddings and vector databases Real-world debugging scenarios Performance optimization Security Project understanding and ownership Problem-solving ability Important This is a hands-on development role . Candidates should have practical project experience rather than only theoretical knowledge. The selected candidate will be expected to work on real-world SaaS, AI, LLM, RAG, and enterprise software products and contribute to the complete software development lifecycle from requirement analysis through development, testing, deployment, and maintenance. Work Location: Mahadevapura, Bengaluru Work Mode: Onsite Working Days: Monday to Friday Employment: Full-Time WEB: www.ramxora.com Email: careers@ramxora.com

Ramxora Ai — AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

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Ramxora Ai Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Ramxora Ai and off-campus tech roles.

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MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

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CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

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Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Software Engineering, Problem Solving) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Ramxora Ai Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer ▼
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer ▼
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer ▼
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer ▼
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Ramxora Ai as a Full Stack Developer- AI/LLM/RAG?
Preparation Tip: Highlight Ramxora Ai's market reputation, recent tech innovations, and how your skills in Software Engineering directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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