Software Engineer - Python Full Stack

We are looking for an AI Engineer to design and build scalable, production-grade AI solutions. This role combines full-stack software engineering with Generative AI, focusing on LLM-powered applications, RAG, agentic AI workflows and cloud-native deployment on AWS. The ideal candidate will be passionate about developing reliable AI products that solve complex business problems.

• Design, develop and deploy production-grade Generative AI and agentic AI applications.
• Build scalable full-stack applications using Python and modern frontend frameworks.
• Develop LLM-powered solutions using RAG, prompt engineering, semantic search and contextual memory.
• Design AI agents, multi-agent workflows, tool-calling systems and MCP integrations.
• Build and integrate RESTful APIs, microservices and SQL/NoSQL databases.
• Deploy and operate cloud-native applications using AWS services.
• Establish practices for AI evaluation, monitoring, guardrails, governance and performance optimization.
• Collaborate with product, engineering and business teams to translate requirements into reliable AI solutions.
• Create reusable development patterns and maintain high standards for code quality, security and documentation.

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related field.
• Minimum 3 years of professional software development experience.
• Strong full-stack development experience, including Python and a modern frontend framework such as React, Angular or Vue.js.
• Hands-on experience with REST APIs, microservices and distributed applications.
• Experience working with relational and NoSQL databases.
• Practical experience deploying applications using AWS cloud services.
• Experience developing or integrating solutions using LLMs, RAG, prompt engineering and AI application frameworks.
• Exposure to AI agents, agent orchestration, tool calling, multi-agent workflows or MCP.
• Strong understanding of object-oriented programming, software design principles and application architecture.
• Proficiency with Git and modern software development practices.
• Strong problem-solving, analytical and communication skills.