Senior Full Stack Developer - Python, JavaScript & AI Engineering

Job Description: Sr. Full Stack Engineer (Python, JavaScript & AI Engineering) – 7-8 years 

Role Summary 

We are seeking an experienced Sr. 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.