Principal Python Engineer — ML Infrastructure (AI Training) About The Role What if your Python expertise could directly shape the infrastructure that powers the most advanced AI systems in the world? We're looking for a Principal Python Engineer in Bangalore to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — real production work with real impact at scale. This is a fully remote, flexible contract role for a seasoned engineer who thrives in high-performance, distributed environments and wants to work on problems that genuinely matter.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 20–40 hours/week What You'll Do Design, build, and optimize high-performance Python systems that power AI data pipelines and evaluation workflows

Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control

Improve reliability, performance, and safety across production Python codebases

Identify bottlenecks and edge cases in data and system behavior — then implement scalable, elegant fixes

Collaborate with data, research, and engineering teams to support model training and evaluation workflows

Drive architectural and system design decisions through synchronous technical reviews Who You Are Fluent English speaker with robust written and verbal communication skills





Senior full-stack developer with a strong systems programming background

5+ years of professional experience writing production Python for large-scale infrastructure or platform engineering

Deep expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns

Intimately familiar with Python internals — GIL limitations, memory profiling, and performance optimization for compute-heavy workloads

Able to drive technical strategy and architectural decisions clearly and confidently

Available to commit 20–40 hours per week Nice to Have Prior experience with data annotation, data quality, or model evaluation systems

Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure

Experience with distributed systems architecture or internal developer tooling Why Join Us Work directly with leading AI research labs on production systems that shape next-generation models

Fully remote and flexible — structure your work around your life, not the other way around

Freelance autonomy with the substance of high-impact, technically demanding work

Collaborate with top engineers and researchers on problems at the frontier of AI infrastructure

Potential for ongoing engagement and expanded scope as projects grow

📌 Principal Python Engineer — ML Infrastructure (Bengaluru)
🏢 Alignerr
📍 Bengaluru