ai engineer

Overview

Who you'll be working for

What requirements you'll need to be eligible

Requirements / Qualifications
•    Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field.
•    1+ years of professional experience in Data Science and Machine Learning or enterprise application development
•    Experience in AI engineering or software development with AI components is advantage.
•    Strong experience with cloud platforms (AWS, GCP, or Azure) for deploying AI and ML workloads, with specific hands-on knowledge of Azure AI Search and Copilot Studio for RAG and agentic implementations is a plus
•    Excellent problem-solving skills and ability to work in agile environments.
•    Strong communication skills, with the ability to explain complex AI and ML concepts to non-technical stakeholders.
•    Experience with vector databases  or knowledge graphs for RAG is a plus.

What you'll be doing on the job

Job Responsibilities
•    Develop and maintain AI application and ML models for tasks including natural language processing, computer vision ensuring high performance and scalability, with a strong focus on building and optimizing Retrieval-Augmented Generation (RAG) applications using Azure AI Search or related tools for efficient information retrieval and indexing.
•    Research, design, and implement agentic AI workflows, enabling autonomous agents to handle complex, multi-step tasks through tool integration and decision-making logic.
•    Explore and prototype latest AI and ML concepts, such as the Model Context Protocol (MCP), to enhance application interoperability and functionality.
•    Conduct performance tuning, A/B testing, and monitoring of AI and ML systems in production environments, deploying solutions on OpenShift for containerized orchestration.
•    Collaborate with software engineers to embed AI and ML capabilities into web /mobile applications, using Python for scripting, automation, and model development in prototype level
•    Document technical designs, contribute to code reviews, and maintain best practices in AI and ML.

Consultant Contact