AI Engineer

Job Summary

This AI Engineer role involves working on AI, Generative AI, and Agentic AI projects to create intelligent solutions for enterprise and government clients. The position suits candidates with a solid background in computer science, software development, and machine learning, aiming to deepen expertise in Agentic AI, LLMs, RAG, and enterprise AI applications.

Responsibilities

• Contribute to the design and development of Agentic AI projects.
• Create AI agents, intelligent workflows, and multi-agent systems for business applications.
• Develop applications powered by Generative AI and Large Language Models.
• Implement solutions using RAG, embeddings, vector databases, and enterprise data.
• Develop, train, evaluate, and optimize machine learning and deep learning models.
• Work on Natural Language Processing solutions and AI applications.
• Build production-ready AI applications and APIs using Python.
• Integrate AI solutions with enterprise systems, databases, APIs, and business platforms.

Requirements

• 1–2 years of professional or relevant hands-on experience in AI, machine learning, software development, data science, or related fields.
• Strong foundation in computer science and software development, including data structures, algorithms, and production-quality coding.
• Good understanding of machine learning, pattern recognition, neural networks, and deep learning.
• Hands-on experience with Natural Language Processing, including developing, evaluating, or deploying NLP solutions.
• Proficiency in Python or a similar programming language.
• Familiarity with AI/ML frameworks such as PyTorch or TensorFlow.
• Practical knowledge of Generative AI and Large Language Models.
• Understanding of RAG architectures, embeddings, vector search, and prompt engineering.
• Experience with REST APIs, databases, Git/GitHub, and modern software development practices.
• Ability to collaborate within multidisciplinary teams and communicate technical concepts clearly.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Computer Engineering, Mathematics, Data Science, or related technical field, or equivalent practical experience.

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