Full-Stack AI Engineer

About the job

As a Full-Stack AI Engineer, you will be responsible for: • Design and build GenAI-powered applications (RAG systems, LLM integrations, agent workflows) • Develop backend services in Python • Integrate AI frameworks (OpenAI, LangChain, Hugging Face, etc.) • Solve real-world deployment challenges (LLMs in cloud and on-premises setups) • Build effective React-based UIs to demonstrate and validate AI solutions • Develop APIs and connect the frontend with the backend services • Create interfaces that help customers adopt AI solutions • Deploy solutions on Azure/AWS • Work with CI/CD pipelines • Leverage managed AI/MLOps services • Ensure scalability, security, and performance Profile Requirements: For this position of Full-Stack AI Engineer, we are looking for someone with: • 5+ years of experience in Python software development • Strong understanding of backend architecture and APIs • Experience delivering production-ready applications • Ability to take ownership from idea to deployment • Strong communication and documentation skills • Experience with React (comfortable building functional UI, not necessarily a senior frontend expert) • Experience with AI/LLM integration or a strong interest in growing into it • Understanding of DevOps and CI/CD principles • Experience with database management (SQL and/or noSQL) • (Nice to have) Experience with RAG systems or LLM-based applications • (Nice to have) Infrastructure as Code (Terraform) • (Nice to have) AI framework experience (OpenAI, Hugging Face, LangChain) • (Nice to have) Cloud platforms (Azure/AWS), including deployment of AI workloads; relevant certifications are a plus.

Requirements

• Python
• AI integration
• React
• SQL
• NoSQL

Preferred Technologies

• Python
• AI integration
• React
• SQL
• NoSQL