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, youre 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.

(ref:hirist.tech)

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