Senior Python Full Stack Developer

• Design and build AI-powered features and services, including LLM-based workflows, recommendation systems, and intelligent automation
• Develop and integrate Agentic AI systems (multi-step reasoning agents, tool-using agents) using modern frameworks like ADK or similar
• Implement prompt engineering, evaluation, and optimization strategies for reliable and cost-efficient LLM usage
• Build RAG (Retrieval-Augmented Generation) pipelines using vector databases (FAISS, Pinecone, Weaviate) for contextual and domain-specific responses
• Lead development of RESTful / GraphQL APIs using Python (FastAPI, Django, Flask)
• Design scalable architectures, microservices, and asynchronous task systems (Celery, Redis, RabbitMQ)
• Implement data models and business logic with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB)
• Optimize performance, troubleshoot issues, and enhance system reliability and security
• Integrate third-party services, cloud APIs, authentication/authorization (OAuth2, JWT)
• Develop responsive, user-friendly interfaces using modern frameworks (React preferred)
• Implement reusable UI components, state management, and API integrations
• Collaborate with design teams to translate UI/UX wireframes into production-ready code
• Manage CI/CD pipelines (GitHub Actions, GitLab, Jenkins)
• Deploy and maintain applications on cloud platforms (AWS, Azure, GCP)
• Work with Docker, Kubernetes, Nginx, Terraform, etc.
• Ensure observability using logging, monitoring, and error-tracking tools
• Mentor junior and mid-level developers
• Participate in code reviews and enforce engineering best practices
• Contribute to technical roadmaps and architectural decision-making
• Work cross-functionally with product owners and stakeholders to translate requirements into solutions

• Expert-level proficiency in Python and at least one major Python framework (FastAPI, Django, Flask)
• Strong frontend experience with JavaScript/TypeScript and at least one modern framework (React, Vue, Angular)
• Deep understanding of database design, query optimization, and ORMs
• Proficiency with cloud services (AWS/Azure/GCP) and containerization (Docker, Kubernetes)
• Strong knowledge of API design, microservices, and distributed systems
• Experience with CI/CD pipelines and DevOps practices
• Solid understanding of security best practices, testing frameworks, and version control (Git)
• Excellent problem-solving skills and ability to work in fast-paced environments
• Bachelors or Masters degree (preferred) in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

AMD benefits at a glance