AI Engineer - Remote

Overview

We are seeking an AI Engineer with hands-on experience designing and deploying scalable AI solutions, contributing to our growth and expansion.

In Short

• Design, develop, and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.
• Experience in cloud AI services (Azure, AWS, Google Cloud, etc.).

Requirements

• 5+ years of experience as an AI Engineer or similar.
• Strong understanding of machine learning concepts and traditional AI concepts.
• Experience with MLOps tools and practices (e.g., model deployment, monitoring).
• Solid programming skills in Python or other relevant languages.
• Excellent problem-solving skills and the ability to work in a collaborative environment.

Benefits

• Learning opportunities with certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business for technical and soft skills courses.
• English lessons to support professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Career development plans and mentorship programs.
• Flexible working options.