AI-Enhanced Python Developer (Backend & ML Integration Specialist)

About the Role

Develop robust backend systems and intelligent AI integrations using Python, Flask, and modern LLM frameworks. Combine strong engineering fundamentals with AI-driven development to create scalable, high-performance applications while continuously expanding your capabilities through AI-powered learning.

Responsibilities

• Architect and implement Python/Flask APIs with AI-assisted development
• Build data models and migrations using SQLAlchemy and Alembic
• Integrate and fine-tune LLM capabilities using LangChain and ChatOpenAI
• Develop secure authentication systems with Flask-Login
• Create structured Pydantic schemas for AI agent tools
• Design and implement ERP integrations (Coupa, JDE) using AI-enhanced approaches
• Apply AI-driven code generation for repetitive backend tasks
• Implement cryptographic solutions (Fernet) for secure data handling
• Craft conversational AI interfaces with optimized prompt engineering

Technical Skills

• Bachelor’s in CS/SE or equivalent practical experience
• Strong proficiency in Python 3 and Flask framework
• Experience with ORM technologies (SQLAlchemy) and database migrations
• Knowledge of LLM frameworks (LangChain, Hugging Face) and integration patterns
• Understanding of REST API design principles and implementation
• Experience with authentication systems and security best practices
• Proficiency with AI-assisted backend development workflows
• Familiarity with ERP systems and integration approaches

AI-Powered Learning

• Leverage AI tools to identify and address knowledge gaps in ML/backend development
• Use AI platforms to analyze your code and suggest architectural improvements
• Practice with AI assistants to refine prompt engineering techniques
• Stay updated with AI-curated resources on Python backend and ML integration
• Track skill development with AI-suggested growth opportunities
• Apply AI recommendations to optimize database performance and queries

AI Integration Skills

• Create effective prompts for LLM-based tools and agents
• Design conversational interfaces that connect to domain-specific functions
• Select appropriate AI frameworks for different backend challenges
• Use AI to analyze and enhance API design and documentation
• Apply ML techniques for data validation and error prediction
• Structure AI agents to interact with external systems securely

Soft Skills

• Balance AI assistance with critical engineering judgment
• Communicate complex AI integration concepts to team members
• Commit to continuous learning in evolving ML technologies
• Combine AI suggestions with software engineering best practices
• Demonstrate responsible AI implementation and data handling

Work Expectations

• 5:00 PM to 2:00 AM Pakistan Standard Time
• Participate in AI-assisted code reviews and architecture sessions
• Contribute to the organization’s AI capabilities and knowledge base
• Share insights on effective backend/ML integration patterns
• Document AI integration approaches for knowledge transfer

Pakistan-Specific Advantages

• Use AI to overcome infrastructure challenges in development environments
• Develop solutions that operate efficiently with varied connectivity
• Apply AI-driven optimization for deployment in Pakistani hosting environments
• Create systems that respect local data sovereignty requirements

Interview Process

• 4-hour paid coding assignment demonstrating Python/Flask skills and LLM integration
• Alternative: Four 1-hour technical interviews covering backend architecture, database design, API development, and ML integration

Join us to pioneer AI-enhanced backend development while building powerful, intelligent systems and accelerating your professional growth in Python and ML technologies.