Design, develop, and maintain high-performance APIs using Python and FastAPI.
Build scalable, modular, and testable backend services for AI-powered applications.
Integrate backend systems with AI/ML models and LLM APIs (e.g., OpenAI, Azure OpenAI).
Develop API layers to support prompt engineering, model inference, and AI-driven features.
Implement asynchronous workflows and background task processing for efficient data handling.
Architect and maintain microservices-based systems with a focus on scalability, security, and reliability.
Collaborate with frontend teams to define and evolve API contracts.
Partner with AI/ML engineers to optimize model deployment and inference pipelines.
Contribute to architecture decisions, sprint planning, and peer code reviews.
Write comprehensive unit and integration tests; ensure high code quality and system resilience.
Implement observability practices, including logging, monitoring, and error tracking.

5+ years of professional experience in Python backend development.
Proven expertise in building and deploying APIs using FastAPI.
Strong understanding of RESTful API design and asynchronous programming (async/await).
Experience with SQL (PostgreSQL) and NoSQL (MongoDB, Redis) databases.
Proficiency with ORMs such as SQLAlchemy or Tortoise ORM.
Hands-on experience integrating AI/ML services or LLM platforms (e.g., OpenAI, Azure OpenAI).
Familiarity with containerization using Docker and cloud platforms (AWS, Azure, or GCP).
Experience setting up and maintaining CI/CD pipelines.
Strong command of Git workflows and experience in Agile/Scrum environments.
Commitment to writing clean, maintainable, and well-documented code.

Python Engineer – FastAPI

Key skills