Description

You will own the development and architectural direction of AI-focused services.

Responsibilities

• Operationalize proofs-of-concept into production-quality AI services, ensuring scalability and maintainability.
• Prototype and design GenAI/agentic solutions that meet defined business needs.
• Implement CI/CD, testing, deployment, monitoring, and MLOps/LLMOps practices.
• Own component- and project-level code, architecture, and production reliability.
• Mentor junior engineers and promote practical AI engineering best practices.

Required Skills

• Strong Python skills and a deep understanding of software engineering principles.
• Experience with backend frameworks such as Flask, Django, or FastAPI.
• 5+ years of professional software development experience.
• Proficiency with containerization using Docker and orchestration with Kubernetes.
• Solid command of Linux environments and version control using GitHub.
• Familiarity with development tools including VSCode.
• Exposure to CI/CD tooling like Jenkins.
• Understanding of Agile or SAFe methodologies.

Key Skills

Education

Any Graduate