About US:-
We turn customer challenges into growth opportunities.
Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe
Job Description: Sr. Full Stack Engineer (Python, JavaScript & AI Engineering) – 7-8 years
Role Summary
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.
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