Python Engineer (AI & Backend Systems)

## About the Role You'll work closely with experienced engineers to build and improve production software systems for clients across multiple industries. Your work may include: - Developing backend services and APIs in Python - Building integrations with AI and LLM-powered tools - Creating and improving data processing workflows - Writing clean, maintainable, production-quality code - Participating in code reviews and engineering discussions - Collaborating with engineers, technical leads, and clients to deliver software solutions ## What We're Looking For - 2+ years of professional Python development experience - Strong Python programming fundamentals - Professional-level English - Experience using Git and collaborative development workflows - Ability to work independently in a remote environment - Strong problem-solving and communication skills - Interest in learning AI application development ## Nice to Have - Experience with FastAPI or similar backend frameworks - Familiarity with REST APIs and backend systems - Experience with SQL databases - Familiarity with Docker - Exposure to cloud platforms - Exposure to AI, LLM, or data-related projects ## Typical Technologies - Python - FastAPI - LLM APIs - SQL databases - Docker - GitHub - Cloud platforms ## Why Engineers Join Citric Sheep - Work on real production systems used by paying customers - Gain hands-on exposure to AI application development - Small engineering teams with high ownership - Work directly on international client projects - Dedicated daily learning time - Collaborative engineering culture focused on continuous improvement - Opportunity to grow into advanced AI and backend engineering work ## About Citric Sheep Citric Sheep is a software development company specializing in AI-powered applications and custom software solutions. Since 2018, we have delivered projects across healthcare, computer vision, energy, data analytics, enterprise software, and intelligent automation for international clients. Our focus is practical engineering: building reliable systems that solve real business problems. ## Benefits - Full-time remote contract - Flexible remote work environment - Daily learning time - Company hackathons and experimentation time - Exposure to modern AI and software engineering technologies - High-ownership engineering culture - Opportunity for professional growth ## Hiring Process - Introductory Meeting - Technical Coding Session - Final Conversation - Reference Check (finalists only)