Python Developer

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)

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Required Skills:

· Experience in implementing Object-Oriented Python, Django.

· Good understanding on Django ORM.

· Experienced in interfacing with *third party API’s using REST

· Worked with varieties of Relational Databases (RDBMS) like SQLite, MySQL, PostgreSQL.

· Experience in Version Control with Git and Bitbucket.

· Experience with JIRA the development progress and tracking deadlines of the project

You need to write scalable Python code for developing and implementing robust applications. You would indulge your dedication and passion to build server-side logic ensuring low-latency and high end performance. You should have sound knowledge of Python frameworks such as Django and Flask.

YOUR ‘OKR’ SUMMARY

OKR means Objective and Key Results.

As a Software Engineer at Coredge, you will help develop our next-generation cloud native core solution along with the product and the open-source community to build the Coredge.io vision.

What you will do?

• System engineering and implementation in Python and Golang.

• Working on performance issues using creative experiments and internally developed product features.

• Research, propose, and integrate relevant open-source projects based on product objectives.

• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.

• Participation in all levels of product definition, design, implementation, testing, and deployment.

• Must include the ability to discuss abstract system architectures from ideas through implementation and

           creatively apply domain experience to solve technical challenges.

• Mentoring software engineers, fostering an environment of trust and accountability.

What you will need?

A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the

following skills to succeed.

• Strong Python skills to develop framework(s).

• Hands-on to design & develop re-usable framework components.

• Hands-On experience on developing framework, designing re-usable framework components.

• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration, building highly scalable applications, application security and functional programming.

Additional Skills:

• Knowledge of Cloud native would be an advantage.

• Understanding of Kubernetes from Architecture side and also understand the Standard API.

• Code contributed to CNCF or similar community will be plus.

• Performance benchmarking of K8’s or any cloud will be added advantage

Job Description:

Candidate must have 2 to 5-years of experience in various phase of development of a python-based application or API development.

Requirements:

Must Have:  Strong expertise in PYTHON and its built-in data structures, developing API using flask or fastapi, data wrangling using standard python frameworks like pandas, NumPy etc., integration of various applications (third party or inhouse) with python.

Good to Have: Deployment using Nginx, GUnicorn, IIS, docker and Kubernetes etc. Good understanding of optimization solutions like differential evolution. Hands on experience with python packages like Scipy.  Tkinter to make python-based applications.

Roles and Responsibilities:

• Understanding/gathering the requirements from stakeholder, formulating the problem, and leveraging AI/ML to solve the business problems.
• Integration of third party or in house application with python solution.
• Working on Deployment and optimization of various engineering problems using Numerical/Constraint optimization frameworks such as Differential Evolution and deploy a web-based API using Flask and Nginx/IIS.
• Unit testing of various python modules developed and testing of the API.