
Python Developer- AI
2 days ago
Role Name - Python Developer - AI
Location - Bengaluru (hybrid)
Experience - 4+
Role & responsibilities
- Design, develop and maintain AWS based robust Python APIs and microservices to expose AI capabilities to internal or external consumers.
- Collaborate with data scientists and ML engineers to turn research models into production-ready code.
- Integrate AI models into existing or new backend systems.
- Optimize AI models for performance and efficiency, monitor them post-deployment.
- Implement model pipelines including data preprocessing, inference, and post-processing logic.
- Build scalable infrastructure for serving AI models using frameworks like FastAPI, Flask, FastMCP, or gRPC.
- Collaborate with cross-functional teams to define technical requirements and architecture.
- Write clean, scalable, and efficient code following best practices and coding standards.
- Ensure software quality through comprehensive testing, debugging, and troubleshooting.
- Keep up-to-date with the latest AI research, tools, and best practices
Preferred candidate profile
- Bachelors degree in Computer Science, Information Technology, or related field (or equivalent experience).
- 4+ years of hands-on work experience in Python development with focus on AI integration.
- Strong proficiency in Python, with a strong understanding of Pythonic practices, REST, OOP concepts, design patterns and SOLID principles.
- Proficient in Core Python, Flask, Django, FastAPI, ORM, FastMCP, Async programming, scripting and automation.
- Familiarity with RESTful APIs and microservices architecture.
- Experience working with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
- Experience with version control (Git/Bitbucket) and collaborative development workflows.
- Experience working with CI/CD pipelines primarily through Jenkins.
- Exposure to AWS and AWS managed services (ECS, S3, Lambda, SQS, Amplify, etc).
- Exposure to containerization tools like Docker and orchestration platforms such as ECS & Kubernetes.
- Can produce clean DRY code on aggressive timelines.
- Possess strong Git-fu.
- Experience with Agile/Scrum methodologies.
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