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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
Role:
The engineer should have strong software engineering experience with a focus on Python-based backend services, Generative AI solutions, React.js applications, and modern development and deployment practices.
Python
Strong proficiency in Python and modern Python development practices.
Experience building maintainable, production-grade backend services and REST APIs, preferably using FastAPI.
Good understanding of object-oriented programming, type hints, exception handling, dependency management, and application architecture.
Experience writing unit and integration tests using tools such as pytest.
Ability to debug, profile, and optimize Python applications.
Generative AI
Hands-on experience building and integrating Generative AI and Large Language Model (LLM)-based applications.
Experience working with LLM APIs, prompt engineering, structured outputs, tool/function calling, and agentic workflows.
Understanding of Retrieval-Augmented Generation (RAG), embeddings, vector search, and grounding techniques.
Experience integrating GenAI capabilities into production-grade backend services and APIs.
Familiarity with LLM evaluation, guardrails, hallucination mitigation, observability, latency, and cost optimization.
Experience with leading GenAI frameworks, model providers, and orchestration tools is preferred.
Understanding of responsible AI, data privacy, security, and safe deployment practices for GenAI applications.
React.js
Strong proficiency in React.js and modern JavaScript/TypeScript development.
Experience building responsive, maintainable, and production-grade web applications.
Good understanding of component-based architecture, state management, hooks, routing, and frontend performance optimization.
Experience integrating React applications with REST APIs and backend services.
Familiarity with frontend testing, build tooling, dependency management, and modern development practices.
MongoDB
Hands-on experience with MongoDB in production applications.
Ability to design appropriate document schemas and data models.
Experience writing MongoDB queries and aggregation pipelines.
Understanding of indexes, query optimization, and database performance.
Experience integrating MongoDB with Python using PyMongo, Motor, or equivalent libraries.
Docker
Strong understanding of Docker and containerized application development.
Ability to create secure and efficient Dockerfiles.
Experience using Docker Compose for local development and service orchestration.
Understanding of container networking, volumes, environment configuration, and troubleshooting.
CI/CD
Experience designing and maintaining CI/CD pipelines.
Ability to automate code quality checks, testing, Docker image creation, and deployment.
Experience with GitHub Actions, GitLab CI, Jenkins, or equivalent CI/CD platforms.
Understanding of branching strategies, release workflows, environment management, and deployment automation.
General Engineering
Strong Git and code-review practices.
Understanding of API design, application security, logging, monitoring, and observability.
Comfortable working with Linux-based development and production environments.
Ability to troubleshoot issues across application, AI/LLM, database, container, and deployment layers.
Strong problem-solving skills with the ability to design scalable, reliable, and maintainable solutions.
Skills:
Minimum of 4-6 years of experience. Skills required are Python Backend Engineering – Strong Python development skills with experience building production-grade backend services, APIs, testing, debugging, and performance optimization.
Generative AI / LLM Engineering – Experience building GenAI applications using LLMs, RAG, embeddings, prompt engineering, tool calling, agentic workflows, and evaluation techniques.
React.js Frontend Development – Strong experience building modern, responsive web applications using React.js, JavaScript/TypeScript, hooks, state management, and API integrations.
MongoDB & NoSQL Development – Hands-on experience with MongoDB data modeling, aggregation pipelines, indexing, query optimization, and Python integration.
Docker & Containerization – Strong experience containerizing applications, writing efficient Dockerfiles, using Docker Compose, and troubleshooting container environments.
CI/CD & DevOps Automation – Experience designing automated pipelines for testing, code quality, builds, releases, and deployments using modern CI/CD platforms.
API & Microservices Architecture – Strong understanding of REST APIs, service-oriented architecture, scalable backend design, and production application architecture.
Production Engineering & Observability – Experience with Git, Linux, application security, logging, monitoring, troubleshooting, and operating reliable production systems.
