AgileEngine - Senior Python Engineer - Data Modeling

Description :

About us :

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.

We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

If youre looking for a place to grow, make an impact, and work with people who care, wed love to meet you!

About the Role :

As a Senior Python Engineer, you will shape and scale intelligent backend solutions that power data-driven products used in real-world decision making.

This role sits at the intersection of software engineering and AI/ML, with strong influence over system architecture, cloud-native design, and service integration.

Youll collaborate with diverse stakeholders, champion clean code and CI/CD practices, and see your work move from design to production.

Its an opportunity to grow technically while owning meaningful, high-impact outcomes.

What you will do :

- Write clean, reusable, and efficient code following coding standards

- Lead the architecture and framework selection for projects

- Ensure proper integration of front-end components and back-end services

- Conduct code reviews and provide constructive feedback

- Optimize applications for maximum speed, scalability, and reliability

- Troubleshoot and resolve complex technical issues

- Implement unit tests, integration tests, and support continuous integration

- Project duration - 6 months.

Must haves :

- 4 - 7 years of relevant experience in data engineering, backend development, or AI/ML

- Strong Python development skills, including experience with data processing libraries

- Proficiency in SQL

- Proficiency in Microservices & REST Apis

- Proficiency in Data modeling

- Solid understanding of clean code

- Exposure to test automation frameworks (pytest)

- Solid understanding of software engineering practices like Git-based development, code

review, and CI/CD pipelines

- Ability to work independently on assigned tasks and take ownership from design to production deployment

- Strong problem-solving and debugging skills, especially for complex data and integration issues

- Comfortable engaging with non-technical stakeholders

- Strong written and verbal communication in English.

Nice to haves :

- LLM orchestration frameworks

- Classical ML

- AZURE/GCP

- Bachelors or masters degree in computer science, Engineering, Data Science, Mathematics, or a related quantitative field

- Demonstrated experience delivering production-grade, client-facing data and analytics products on cloud infrastructure.