Job Title : Back End Developer AI Platform

Location : Chennai, Bangalore, Hyderabad

Experience : 5 to 8 Years

Budget : Open to discuss

Notice Period : Immediate joiner/ Serving notice with less than 45 days/Notice is less than 30 days

About the job :

We are seeking an accomplished Senior Backend Engineer to architect and build the intelligent, scalable services that power our next-generation, multi-tenant SaaS platform.

You will be the engine behind our product, responsible for designing, developing, and deploying robust backend systems with a strong focus on productionizing advanced AI, building intelligent agents, and ensuring enterprise-grade security and scalability.

This is more than just a coding role; it requires a deep product mindset and sharp critical thinking.

You will be building the core of our platform, turning complex requirements into reliable APIs and services that communicate seamlessly (A2A) in a Multi-Cloud Platform (MCP) environment.

If you are passionate about building high-performance systems in both Python and NodeJS, and are excited by the challenge of building with modern agentic frameworks like LangGraph, this role offers a unique opportunity to shape a market-defining product.

In this role, you?re expected to :

- Demonstrate a strong product mindset, thinking not just about technical implementation but also about user impact, business value, and long-term architectural health.

- Apply critical thinking to solve complex problems, designing systems that are secure, scalable, and maintainable within a multi-tenant architecture.

- Take full ownership of the entire lifecycle of backend services, from architectural design and development to deployment and operational excellence.

- Act as a key technical leader, bridging the gap between data science, product management, and production engineering to deliver tangible value.

Responsibilities :

- Architect and implement secure and scalable solutions for our multi-tenant SaaS platform, ensuring robust data isolation and reliable Application-to Application (A2A) communication.

- Design and build intelligent, autonomous agents using modern frameworks like LangGraph or AutoGen to orchestrate complex tasks and workflows.

- Develop high-performance, scalable backend services and APIs primarily in Python, leveraging frameworks like FastAPI or Django.

- Develop and maintain high-concurrency services and APIs using NodeJS where appropriate, contributing to our polyglot microservices ecosystem.

- Collaborate with data scientists to productionize and deploy complex Machine Learning and NLP models (e.g., RAG frameworks) as robust microservices.

- Design and manage database schemas, write efficient SQL queries, and ensure data integrity for large and complex datasets.

- Own the deployment, monitoring, and performance tuning of your services in a Multi-Cloud Platform (MCP)environment using Docker and Kubernetes.

Qualifications :

- Experience : (5-8) years of professional experience in backend software development.

- Product Mindset & Critical Thinking : A proven product-first approach is a must. You must demonstrate strong critical thinking skills, the ability to understand business needs, and a passion for building solutions that solve real-world user problems.

- Multi-Tenant Architecture : Verifiable experience designing and building backend systems for a multi-tenant SaaS application is required.

- Polyglot Experience : Expert proficiency in Python is essential. Professional experience with NodeJS for building backend services is also required.

- ML in Production : Proven track record of designing, developing, and deploying machine learning or deep learning models in a production environment.

- Agentic Frameworks : Exposure to or a strong interest in modern agentic AI frameworks like LangGraph, AutoGen, or similar is highly desirable.

- Database Skills : Solid experience with relational databases (e.g., PostgreSQL and writing advanced SQL.

- Cloud & DevOps : Experience deploying to a Multi-Cloud Platform MCP environment AWS, GCP, or Azure) using containerization technologies Docker, Kubernetes) is essential.

- Education : Bachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience.