AI Engineer

Overview:

AI Engineer will play a hands-on developer role in designing building and deploying intelligent systems and infrastructure across the enterprise. The ideal candidate is highly proficient in Python familiar with modern infra-as-code tools like Terraform ansible Agentic AI development and comfortable working within cloud environment such as AWS including Amazon Q. Strong DevOps and CI/CD practices using Jenkins and github are essential to ensure robust and repeatable deployment and change management workflows.

Core Responsibilities

Design and develop automation solutions using modern programming languages and frameworks

Create reusable components and libraries to support cross-functional automation needs

Implement CI/CD pipelines and automated testing frameworks

Collaborate with cross-functional teams to identify and prioritize automation opportunities

Troubleshoot complex automation issues and optimize existing systems

Document automation processes and maintain technical documentation

Required Qualifications

4 years of experience in software development with a focus on automation and AI

Strong proficiency in Python programming language

Experience with automation frameworks and tools Terraform Ansible Jenkins GitHub

Understanding of Data Platform technologies

Knowledge of infrastructure-as-code principles and practices

Experience with version control systems and collaborative development workflows

Strong analytical and problem-solving skills

Preferred Qualifications

Experience with cloud platforms like AWS datastore products

Knowledge of API development and integration patterns

Knowledge of Agentic AI development and integration

Experience with monitoring and observability tools

Understanding of security best practices for automation systems

Skills

Strong troubleshooting and problem-solving abilities

Excellent communication skills to work with data platform engineering and cross-functional teams

Familiarity with agile development methodologies

Knowledge of security best practices for AI systems

Ability to balance technical requirements with business needs