StatusNeo - Senior Full Stack Engineer - Python/React.js (7-10 yrs)

V2 Solutions; Gurugram District; Hybrid; INR 2,400,000 - 4,200,000; Full time

Job summary

V2 Solutions is seeking a Sr. Full Stack Engineer with 7 to 10 years of experience to design, develop, and deploy scalable enterprise applications. The role emphasizes Python and ReactJS, RESTful APIs, and integration of AI/ML capabilities.

You will collaborate with product managers, data scientists, and engineering teams, work across the SDLC, and contribute to AI-powered digital solutions. Remote / hybrid in Gurgaon; full-time; you will mentor juniors, implement CI/CD, containerization with

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• 7 to 10 years of software development experience with full-stack applications.
• Strong proficiency in Python and ReactJS.
• Hands-on experience with FastAPI, Django, or Flask.
• Experience with JavaScript/TypeScript, HTML5, CSS3, Redux, and modern front-end frameworks.
• Strong understanding of REST APIs, microservices architecture, and distributed systems.

Responsibilities

• Design, develop, and maintain scalable web applications using ReactJS and Python.
• Build reusable UI components and responsive user interfaces using ReactJS, JavaScript/TypeScript, HTML5, and CSS3.
• Develop robust backend services, APIs, and microservices using Python frameworks such as FastAPI, Flask, or Django.
• Design and optimize database schemas and perform efficient data modeling.
• Implement authentication, authorization, and security best practices.
• Design, develop, and integrate Generative AI and LLM-based applications.
• Build AI-powered features such as chatbots, intelligent search, recommendations, document processing, and summarization.
• Work with platforms such as OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or equivalent.
• Design and implement RAG architectures using vector databases.
• Develop prompt engineering strategies and optimize AI application performance.
• Integrate AI services into enterprise applications and workflows.
• Deploy applications on cloud platforms such as Azure, AWS, or GCP.
• Build and manage CI/CD pipelines.
• Containerize applications using Docker and orchestrate deployments using Kubernetes.
• Monitor application performance, scalability, and reliability.
• Participate in architecture discussions, code reviews, and agile practices.
• Follow Agile/Scrum methodologies and contribute to sprint planning and execution.
• Ensure code quality through unit testing, integration testing, and automation.

Skills

Python

ReactJS

AI/ML integration

RESTful APIs

Microservices

Cloud deployment

Education

Bachelor's or Master's in CS/IT

Tools

FastAPI

Django

Flask

Docker

Kubernetes

Azure/AWS/GCP

Job description

Role : Sr. Fullstack Engineer Experience : 7 to 10 Years Location : Remote / Gurgaon (Hybrid) Employment Type : Full-Time Position Overview : We are seeking a highly skilled Full Stack Engineer with strong expertise in Python, ReactJS, and AI/ML technologies to design, develop, and deploy scalable, enterprise-grade applications. The ideal candidate will have extensive experience building modern web applications, developing RESTful APIs, integrating AI/LLM solutions, and working across the complete software development lifecycle. The candidate will collaborate closely with product managers, architects, data scientists, and engineering teams to deliver innovative AI-powered digital solutions.

Key Responsibilities

Full Stack Development

• Design, develop, and maintain scalable web applications using ReactJS and Python.
• Build reusable UI components and responsive user interfaces using ReactJS, JavaScript/TypeScript, HTML5, and CSS3.
• Develop robust backend services, APIs, and microservices using Python frameworks such as FastAPI, Flask, or Django.
• Design and optimize database schemas and perform efficient data modeling.
• Implement authentication, authorization, and security best practices.

AI & Generative AI Development

• Design, develop, and integrate Generative AI and LLM-based applications.
• Build AI-powered features such as chatbots, intelligent search, recommendations, document processing, and summarization.
• Work with platforms such as OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or equivalent.
• Implement RAG (Retrieval-Augmented Generation) architectures using vector databases.
• Develop prompt engineering strategies and optimize AI application performance.
• Integrate AI services into enterprise applications and workflows.

Cloud & DevOps

• Deploy applications on cloud platforms such as Azure, AWS, or GCP.
• Build and manage CI/CD pipelines.
• Containerize applications using Docker and orchestrate deployments using Kubernetes.
• Monitor application performance, scalability, and reliability.

Software Engineering & Collaboration

• Participate in architecture discussions and technical design reviews.
• Conduct code reviews and mentor junior developers.
• Follow Agile/Scrum methodologies and contribute to sprint planning and execution.
• Ensure code quality through unit testing, integration testing, and automation.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• 7 to 10 years of software development experience with full-stack applications.
• Strong proficiency in Python and ReactJS.
• Hands-on experience with FastAPI, Django, or Flask.
• Experience with JavaScript/TypeScript, HTML5, CSS3, Redux, and modern front-end frameworks.
• Strong understanding of REST APIs, microservices architecture, and distributed systems.

Database Experience

• PostgreSQL
• MySQL
• MongoDB
• Redis
• Hands-on experience with cloud platforms (Azure preferred).
• Experience building and integrating AI/ML or Generative AI solutions.
• Strong knowledge of Git, CI/CD, Docker, and Kubernetes.

Preferred Qualifications

• Experience with Azure OpenAI Services.
• Knowledge of LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.

Vector Database Experience

• Azure AI Search
• Pinecone
• Weaviate
• ChromaDB
• FAISS
• Familiarity with MLOps and AI deployment pipelines.
• Exposure to event-driven architectures and messaging systems such as Kafka or RabbitMQ.
• Experience with enterprise-scale SaaS platforms.
• Relevant certifications in Azure, AWS, AI, or Cloud technologies.