Description

Key Responsibilities

• Design and implement AI/GenAI applications, integrating LLMs, RAG, agentic components and AI APIs.
• Develop reliable prompt engineering patterns and integration code (Python and/or .NET/Java) to embed AI into enterprise applications.
• Build and maintain CI/CD pipelines (GitHub Actions), IaC (Terraform) and GitOps workflows for repeatable deployments.
• Deploy, operate and troubleshoot containerized workloads on Kubernetes/EKS and automate cloud infrastructure on AWS.
• Implement monitoring, observability and security practices to ensure production reliability and compliance.

Qualifications

• Proven experience in AI/GenAI application development, including hands-on work with LLMs, RAG and prompt engineering.
• Strong coding skills in Python and experience with .NET/C# or Java for application integration.
• Practical experience with AWS, Kubernetes (EKS), Terraform, CI/CD (GitHub Actions) and GitOps approaches.
• Knowledge of monitoring, observability, security and production reliability practices for cloud applications.
• Ability to work across AI, application engineering and DevOps disciplines and communicate effectively with cross-functional teams

Key Skills

Education

Bachelor's degree