Artificial Intelligence Engineer

AI / Machine Learning Engineer

Overview

We are seeking an AI / Machine Learning Engineer with 3–5 years of experience to design and develop intelligent applications and data-driven systems. This role will focus on building AI-enabled solutions, integrating machine learning models into scalable applications, and supporting modern architectures including vector databases and RAG-based systems.

Key Responsibilities

• Design, develop, and deploy AI and machine learning models to support business applications and intelligent automation
• Build and integrate ML pipelines and services within enterprise applications using Python and Java frameworks
• Develop scalable APIs and microservices that support AI-driven applications and model inference
• Work with vector databases and Retrieval-Augmented Generation (RAG) concepts to support AI-based search and knowledge systems
• Design and maintain data pipelines and database systems to support model training and inference
• Collaborate with engineering teams and business stakeholders to identify AI opportunities and deliver solutions
• Participate in code reviews, architecture discussions, and solution design sessions

Required Skills

• Python (AI/ML development)
• Java / Spring Boot for application integration
• SQL and database design
• Experience with machine learning libraries and frameworks
• Understanding of AI/ML fundamentals including model development, evaluation, and deployment

Preferred Skills

• Vector databases and RAG architecture concepts
• Microservices and REST API development
• MongoDB, PostgreSQL, or Oracle databases
• Event-driven architecture and scalable distributed systems
• JavaScript, HTML, and modern web technologies

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, Applied Physics, or a related technical discipline
• 3–5 years of experience in software engineering with exposure to AI/ML development
• Strong analytical and problem-solving skills with the ability to work across multiple projects