Senior Python Engineer (Remote, Full-Time) [AS199]
Team: Engineering
Location: India, Ahmedabad, Bangalore, Cochin, Delhi NCR, Hyderabad, Mumbai
Commitment: Full-Time | Remote
Workplace Type: remote
Responsibilities
- Develop robust service logic to expose AI models via RESTful APIs using frameworks such as FastAPI or Flask
- Collaborate with data scientists, engineers, and product teams to translate business requirements into technical solutions
- Work within Azure cloud infrastructure, leveraging containerised environments for scalable and reliable deployments
- Support model lifecycle management using tools such as Databricks Mosaic AI and AI Foundry, ensuring governance, traceability, and performance monitoring
- Implement data preprocessing pipelines and feature engineering workflows
- Ensure codebases are secure, scalable, maintainable, and aligned with software engineering best practices
- Monitor deployed models and services, iterating based on performance metrics, feedback, and evolving requirements
- Maintain clear documentation and appropriate testing coverage for all developed components
- Contribute to shared design, development, deployment, and monitoring practices within cross-functional agile teams
Requirements
- Strong proficiency in Python, including object-oriented and functional programming
- Solid experience building API-driven services using FastAPI or Flask
- Familiarity with data manipulation libraries such as Polars, Pandas, and NumPy
- Experience with model deployment and serialisation (e.g. Joblib, Pickle, TorchScript)
- Hands-on experience with LangChain and other open-source frameworks for AI agents and orchestration pipelines
- Strong software engineering fundamentals, including Git-based version control and testing with Unittest or Pytest
- Understanding of API security practices, including authentication and input validation
- Experience working with Azure cloud platforms and Docker-based containerisation
- Ability to work effectively in agile environments
- Strong communication skills and the ability to collaborate with cross-functional teams
Nice to Have
- Experience working closely with stakeholders to shape and refine AI-powered solutions
- Demonstrated ability to adapt to changing requirements and iterate on deployed services based on real-world feedback
- A continuous improvement mindset, focused on improving reliability, scalability, governance, and maintainability
- Experience managing AI services end to end, including deployment, monitoring, documentation, and ongoing support
- A future-focused approach to building scalable, secure services aligned with long-term platform needs
Benefits
- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters:Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued
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