Technical Lead – Backend

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

Basic Requirement :

node.js

•Writing web services REST and GraphQL using node.js frameworks such as express and node SDKs

•Develop low-latency, high-availability, and high-performance applications using node.js framework

•Develop using microservices architecture style and asynchronous using loopback

•Implementation of security such as web service authentication and data storage (such as database, key-value stores, and object storage) in the application

•No other fuss only code

Required Technical Expertise

•Strong proficiency in node.js, and AWS Lambda.

•Experience in PostgreSQL, MongoDB, Amazon SQS, Kafka, Amazon SNS, Dynamodb, and Firebase

•Experience in using node.js frameworks (such as express, StrongLoop)

•Experience in asynchronous programming and use of libraries in node.js

•User authentication and authorization in a microservices architecture

•Integration of multiple data sources and databases into the application

•Understanding of microservices and scalable architecture

•Experience in creating database schemas (SQL & NoSQL) for the applications

Responsibilities

Solve complex performance problems and architectural challenges

Build reusable code and libraries for future use

Build efficient, testable, and reusable Node JS modules

End-to-end ownership of modules, including designing, development, validation, deployment

Specifications:

Understanding the fully synchronous behavior of NODE JS.

Familiarity with One OOPS language

Familiarity with Workers/child processes & performance tuning

Experience with SQL/NoSQL databases and their declarative query languages (MySQL, and Mongo dB)

Strong knowledge of the common NODE JS or web server exploits and their solutions

Experience -

2-6 Year Qualifications Desired Skills NodeJS, HTML, CSS, Angular/React, JavaScript, Web Application Development, SQL/NoSQL

• Participate in requirements analysis and design 
• Development of Web applications and RESTful APIs using C#, .NET Core, ASP.NET Core, .NET Framework 4.7, C#, ASP.NET MVC, LINQ, Entity Framework 6.0, EF Core
• Development of Microservices using Clean Architecture, CQRS, .NET Design Patterns, SOLID Principles and Object-oriented design & analysis (OOA & OOD)
• Development of Microservices using Microsoft Azure or AWS, Dockers and Kubernetes
• Write clean, scalable code using .NET programming languages (C#)
• Write Microsoft SQL queries and optimize both external and internal DB processes and procedures.
• Use automation tools, following CI/CD best practices in an established DevOps team.
• Write unit and integration tests using Moq
• Collaborate with internal teams to produce software design and architecture
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support  

• MSSQL, SSIS, Performance Tuning, Data modeling.
• Experience in No SQL tools is must
• Candidate should have exposure to write scripts in Python/Node JS/MongoDB or any other tool
• Maria DB/MYSQL, Mongo DB, Github, Jira
• Understand Requirements from client and on-site team.
• Participate in preparing design and data modelling.
• Comfortable with SQL Stored procedures and queries development.
• Comfortable with SQL Stored procedures and queries development.
• Manage SQL Server through multiple product lifecycle / environments, from development to critical production systems.
• Apply best in industry standard techniques for data modeling to ensure performance, integrate and requirement.
• Ability to analyze independently problems and resolve them on time.