AI Application Developer - Python, Django, AI Workflows
Job Description & How to Apply Below
Responsibilities
AI Application Development
Architect, code, analyze, and modify AI-based application systems.
Implement, test, debug, and deploy large-scale enterprise AI solutions.
Contribute to technical design, development, and implementation of applications using Python and Django .
Ensure best practices are followed, including ORM and middleware management.
Background Task Management
Implement and optimize Django background task functionality or asynchronous workflows.
UI Development
Build responsive, intuitive user interfaces using Type Script and modern front-end frameworks.
Ensure seamless user experiences across platforms.
AI Agentic Workflow Orchestration
Design and implement orchestrators for AI agentic workflows.
Manage complex multi-agent systems and task coordination.
API & Microservices
Design, build, and maintain RESTful APIs and microservices.
Integrate with third-party AI tools and enterprise systems.
CI/CD Implementation
Develop and maintain CI/CD pipelines using Git Hub Actions .
Ensure automated testing, deployment, and quality gates.
Database Management
Design, optimize, and maintain Postgre
SQL and SQL databases.
Ensure data integrity, performance, and scalability.
Deploy applications to cloud platforms ( Azure , AWS , or GCP ) using containerization ( Docker , Kubernetes ).
Code Quality & Performance
Ensure application quality, performance, and scalability through effective testing and code reviews.
Conduct design and code reviews for scalable, maintainable applications.
Stay current with latest AI/ML capabilities, platform features, and industry trends.
Qualifications
5+ years of production experience with Python .
3+ years experience with Django framework , including ORM and middleware.
Strong experience in background/asynchronous task management.
Proficiency in Type Script and modern front-end frameworks.
Expertise in building RESTful APIs and microservices.
Experience with CI/CD pipelines ( Git Hub Actions ).
Hands‑on with databases ( Postgre
SQL , SQL) and cloud deployment ( AWS , Azure , GCP ).
Familiarity with containerization tools ( Docker , Kubernetes ).
Excellent collaboration and communication skills in Agile environments.
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