Python Backend Engineer (3+ Years Experience)

Python Backend Engineer, Remote (US, Canada) — Shelton AI About Shelton AI Shelton AI develops AI solutions tailored for private markets, catering to top-tier asset allocators such as sovereign wealth funds and pension funds. As a leader in the financial technology sector, Shelton AI specializes in advanced solutions primarily aimed at increasing transparency within private markets. The company is dedicated to optimizing investment processes and enhancing operational efficiencies throughout the entire investment cycle. We’re profitable, remote-first, and growing quickly, with a team that combines deep finance and engineering expertise. The Role We are seeking a Python Backend Developer with Django experience and strong expertise in SQL database design and optimization. If you love clean code, performance tuning, and working with data-intensive applications, we want to hear from you. This is your opportunity to collaborate with an innovative team in the rapidly evolving field of AI. Our clients impact outcomes for millions of families. We are here to make the world's capital matter. We're looking for a backend engineer with strong foundations in Python and SQL who’s excited to work on data-intensive systems that integrate AI document processing. You'll design APIs, build pipelines that process millions of financial documents, and make sure the resulting data is fast, reliable, and easy to query.

What You'll Do

• Write clean, testable Python code and own services end-to-end following best practices.
• Design and optimize SQL queries: debug slow queries, restructure schemas, and tune indexes for large datasets.
• Model and manage databases (PostgreSQL preferred, but other SQL dialects welcome) with an eye on both performance and integrity.
• Build APIs and services with Django/DRF, including ORM modeling (migrations, and Celery-based background tasks).
• Integrate AI/agentic workflows: connect OCR, NLP, entity extraction, financial data pipelines into production-grade backend systems.
• Deploy and operate workloads in the cloud, ideally AWS (S3, RDS, IAM, SQS/SNS, Lambda/ECS).
• Work closely with our product and frontend teams
• Improve performance and reliability through profiling, monitoring, and automation.

Minimum requirements

• 3+ years of experience with Python (language fundamentals, structure, testing, maintainability, best practices).
• Proficiency in SQL: writing/debugging complex queries, schema/index design, and query optimization.
• Deep experience with PostgreSQL (EXPLAIN plans, schema refactoring, advanced indexing strategies).
• Hands-on experience with Django/DRF (ORM, migrations, API design, Celery).
• Familiarity with cloud infrastructure, ideally AWS, for deploying and operating production systems.
• Hands-on experience with DataFrame libraries such as Pandas or Polars.
• Proficiency in writing unit/integration tests.
• Solid experience with CI/CD pipelines (GitHub Actions).
• Proficiency using Git.
• Ability to work independently.
• Strong analytical and communication skills.
• Ability to explain technical trade-offs clearly and collaborate in a fast-paced environment.

Bonus points

• Experience with LLM integrations and prompt engineering (OpenAI API).
• Knowledge of modern AI and agentic systems, and how they integrate into backend pipelines.
• Experience with Redis.
• Experience with SQLAlchemy.
• Familiarity with the AI-assisted coding ecosystem (tools, workflows, and best practices).
• Knowledge of async Django or Django Channels (Daphne).
• Exposure to OCR pipelines (Tesseract, AWS Textract, etc.).
• Background in financial data or other domains where correctness and auditability matter.

Why Join Us

• Competitive compensation.
• Fully remote, with a distributed team.
• Be part of a team pushing the boundaries of applied AI.
• Opportunity to solve hard technical and AI/agentic problems at the intersection of finance and engineering.
• A collaborative, high-growth environment where your work directly impacts institutional investors worldwide.
• Potential for additional stock-based compensation based on experience

Apply tot his job Apply To this Job