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Medium—strong employer brand plus broad AI/fullstack expectations attract competitive applicants.
High—requires specialized Generative AI/LLM and cloud-native engineering experience, limiting cross-industry transferability.
High—explicit 8+ years plus mandatory LLM, cloud, containerization, and fullstack technical requirements.
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Design, develop, and scale backend and frontend software systems integrating Generative AI and Large Language Models for production use across the organization.
Build and deploy containerized applications using Docker and cloud platforms, contributing to microservices and cloud-native architecture decisions.
Collaborate in Agile environments with multidisciplinary teams to deliver scalable, testable, and maintainable AI-powered solutions.
Bachelor’s degree in Computer Science or related technical field.
Minimum 8 years of hands-on software development experience across frontend and backend systems.
Proficiency in at least one programming language among Python, Go, or TypeScript.
Experience with Docker, cloud platforms (AWS, Azure, or GCP), and knowledge of microservices and authentication protocols.
Has deep experience applying Generative AI and Large Language Models in production, including knowledge of agentic AI concepts (MCP, A2A protocols).
Demonstrates strong software architecture skills with cloud-native microservices and container orchestration exposure.
Operates effectively in Agile teams, leading code reviews, mentoring junior engineers, and integrating AI-assisted development tools like GitHub Copilot.