U
AI Summary
Seeking a Senior Python Developer for a pure coding role focused on building and optimizing high-performance Python systems for large-scale AI and data pipelines. Collaborate with AI research teams to design scalable, modular, and production-ready codebases.
Key Highlights
Build, test, and optimize high-performance Python systems for AI and data pipelines.
Design and maintain modular, clean, and production-ready Python codebases.
Collaborate with cross-functional teams (data, infra, research engineers) on backend components.
Focus on efficient, maintainable, and testable code with strong algorithm and data structure understanding.
Work fully remotely with high autonomy and ownership.
Technical Skills Required
Benefits & Perks
Work fully remotely, from anywhere.
Collaborate with world-class AI labs and frontier research companies.
Tackle real engineering challenges with high autonomy and ownership.
Job Description
Role Overview: Senior Python Developer
We’re looking for a Python Developer. This is a pure coding role — where you’ll tackle challenging engineering problems, design scalable systems, and collaborate with leading AI research teams.
What You’ll Do
- Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.
- Design and maintain modular, clean, and production-ready Python codebases.
- Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.
- Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
- Stay current with modern Python tools, frameworks, and best practices.
- Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
- 4+ years of professional experience writing Python in production environments.
- Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, FastAPI, or similar).
- Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
- Deep understanding of data structures, algorithms, and problem-solving at scale.
- Experience with system design, clean architecture, and performance optimization.
- Working level Proficiency in ML/DS
- Strong experience with distributed systems, APIs, or data processing pipelines.
- Familiarity with cloud environments (AWS, GCP, or Azure) and CI/CD workflows.
- Experience in open-source contributions or building developer tools.
- Comfort working in fast-paced, research-driven environments.
- Work fully remotely, from anywhere.
- Collaborate with world-class AI labs and frontier research companies.
- Tackle real engineering challenges with high autonomy and ownership.
- Commitment: Minimum 20 hours/week
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