Python & React Full Stack Developer

Srijan: Now Material; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Srijan: Now Material is looking for a Sr. Full Stack Engineer to join their team in Gurugram, India. The ideal candidate will have strong expertise in Python and JavaScript/TypeScript, focusing on building scalable cloud applications and integrating AI features. The position emphasizes technical leadership and mentoring of engineering teams.

Key responsibilities include designing applications, implementing AI-enabled features, and ensuring best practices in software engineering. A background in cloud platforms such as AWS or Azure is essential.

Qualifications

• 7-8 years of experience in software engineering with a focus on Python and JavaScript.
• Strong understanding of AI application patterns and LLM integration.
• Hands-on experience in deploying applications on cloud platforms like AWS or Azure.

Responsibilities

• Design, develop, and maintain scalable applications.
• Implement AI-enabled features using LLMs and structured outputs.
• Mentor engineers and drive engineering best practices.

Skills

Python

JavaScript

TypeScript

AI application development

REST APIs

Microservices

AWS

Azure

CI/CD

Technical leadership

Tools

Docker

Kubernetes

Job description

Sr. Full Stack Engineer (Python, JavaScript & AI Engineering)

7-8 years of experience

Role Summary

We are seeking an experienced Senior Engineer/Technical Lead with strong expertise in Python, JavaScript/TypeScript, and AI-native application development. The ideal candidate will build scalable cloud applications, architect intelligent systems powered by Large Language Models (LLMs), drive engineering excellence, and help teams adopt modern AI-assisted development practices. This is a hands‑on leadership role combining software engineering, AI integration, and technical mentorship.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python and JavaScript/TypeScript.
• Build APIs, microservices, and event‑driven cloud‑native solutions.
• Design and implement AI‑enabled features using LLMs, RAG, structured outputs, and tool integrations.
• Build and maintain agentic workflows for business automation and developer productivity.
• Leverage AI coding assistants and code agents to improve software delivery and engineering efficiency.
• Integrate enterprise services including authentication, SSO, authorization, and internal platforms.
• Collaborate with platform teams to deploy and operate applications on AWS or Azure.
• Drive engineering best practices including CI/CD, testing, observability, code reviews, and secure development.
• Document architectures, APIs, AI workflows, and key technical decisions.
• Mentor engineers and help teams adopt modern AI‑first development practices.

Required Skills

• Strong hands‑on experience building production applications with Python.
• Good experience with JavaScript or TypeScript and modern application architectures.
• Experience designing REST APIs, microservices, and distributed systems.
• Practical understanding of LLMs, prompt engineering, RAG, embeddings, vector search, and AI application patterns.
• Experience integrating commercial or open‑source AI models into production systems.
• Hands‑on experience using AI coding assistants and code agents to accelerate development.
• Understanding of agent orchestration concepts and Model Context Protocol (MCP).
• Experience with AWS or Azure cloud platforms.
• Experience with CI/CD, automated testing, code quality, and application observability.
• Strong communication, documentation, and technical leadership skills.

Good‑to‑Have Skills

• Experience with AI orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, or similar.
• Knowledge of FastAPI, Node.js, React, or Next.js.
• Experience with containers and Kubernetes.
• Exposure to AI evaluation, guardrails, and production monitoring.
• Experience mentoring teams and driving AI adoption across engineering organizations.