Python developer

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.

Key Responsibilities :

- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.

- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.

- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.

- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.

- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.

- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.

- Implement inter-service communication using gRPC and REST.

- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.

Required Skills & Qualifications :

- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.

- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.

- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).

- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.

- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.

- Proven experience with system architecture, distributed systems, and microservices.

- Strong familiarity with Any Cloud infrastructure and deployment practices.

- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

Duration: 6 months with possible extension

Location: Remote 

Notice Period: Immediate Joiner Preferred

Experience: 4-6 Years

Requirements:

• B Tech/M Tech in Computer Science or equivalent from a reputed college with a minimum of 4 – 6 years of experience in a Product Development Company
• Sound knowledge and application of algorithms and data structures with space and me complexities
• Strong design skills involving data modeling and low-level class design
• Good knowledge of object-oriented programming and design patterns
• Proficiency in Python, Java, and Golang
• Follow industry coding standards and be responsible for writing maintainable/scalable/efficient code to solve business problems
• Hands-on experience of working with Databases and the Linux/Unix platform
• Follow SDLC in an agile environment and collaborate with multiple cross-functional teams to drive deliveries
• Strong technical aptitude and good knowledge of CS fundamentals

What will you get to do here?

• Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.
• Driving the adoption of best practices & regular Participation in code reviews, design reviews, and architecture discussions.
• Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.
• Implementation of long-term technology vision for your team.
• Creating architectures & designs for new solutions around existing/new areas
• Decide on technology & tool choices for your team & be responsible for them.

Roles and Responsibilities :

• Design, Develop, test and maintain software applications with MVC architectures, Microservices and scalable cloud-native apps.
• Perform hands-on coding and provide thoughtful code reviews
• Mentor and lead team members to continuously improve the quality and productivity of deliverables
• Demonstrate ability to work within an agile team as well as collaborate with many other teams on design and implementation strategies. Follow SCRUM Agile Development methodology
• Effective Communication Skills- An ability to express your ideas to the recipient & Co-ordinate and communicate with the cross-functional team along with the client's team
• Problem Solving, Hustler - Get Stuff Done, Self-Disciplined Open-minded, User-Focused, Adaptive
• Lean Principles & Analytical Thinking
• Project planning, timelines and milestones for execution and deliverables
• Participate in the Evaluation Review of your team member

Primary Skills

• Expert in Python with experience on Django.
• Expert in server programming, you should be able to implement complex business logic.
• Good understanding of the threading limitations of Python, and multi-process architecture.
• Good understanding of fundamental design principles behind a scalable application.
• Knowledge of event-driven programming in Python.
• Experience with python packages like Numpy, pandas, flask, Pyspark, pymongo, os, logging, re, pyyaml.
• Experience with swagger io module to expose API
• Strong unit test and debugging skills.
• At least 2 years of experience in RESTful API/HTTP/JSON`
• Knowledge of AWS cloud and python Boto lib.
• Proficient understanding of code versioning tools Like Git.
• Good understanding of Linux OS.

Secondary Skills:

• AWS Kinesis
• Web Sockets
• RAbbitMQ
• AWS Cloud formation