AI Engineer

An AI Engineer with 3-5 years of experience responsible for developing, deploying, and maintaining advanced artificial intelligence systems. This role involves designing innovative AI models, integrating them into existing infrastructures, and collaborating with cross-disciplinary teams to drive technological advancements. The position requires a focus on creating scalable, efficient AI solutions that support organizational goals of resilience, intelligence, and data accessibility.

Responsibilities

• Design, develop, and deploy AI models and algorithms from scratch for various applications including natural language processing and intelligent automation.
• Create functional and process designs, including scenario mapping, flow diagrams, prototyping, and testing to ensure robust AI solutions.
• Document solution architecture, lessons learned, and best practices to facilitate knowledge sharing and continuous improvement.
• Implement AI solutions that seamlessly integrate with current systems to enhance functionality and user experience.
• Manage data flow and infrastructure necessary for effective AI deployment and operationalization.
• Stay current with emerging AI trends, tools, and market assessments to recommend improvements and innovative approaches.
• Collaborate with data scientists and engineering teams to integrate AI seamlessly into broader architecture and workflows.
• Advise executive leadership on AI strategy, technology policy, and potential impact areas for organizational growth.
• Conduct solution architecture validation, including the deployment of large language models and retrieval-augmented generation techniques.
• Support GenAI models in production, ensuring stability, scalability, and continuous performance monitoring.
  
  
  

Qualifications

• Bachelor’s or graduate degree in Computer Science, Data Science, AI, or related fields.
• 3-5 years of experience in AI engineering, machine learning, or relevant roles.
• Proven experience in developing AI models, particularly large language models (LLMs) such as GPTs, Llama, or similar.
• Strong understanding of MLOps tools, Docker, and cloud environments for AI deployment.
• Hands-on experience with vector database implementations, RAG, and tuning LLMs for specific applications.
• Familiarity with REST API development, NoSQL, and RDBMS database design and optimization.
• Ability to assess and validate solution architectures for AI models and systems.
• Knowledge of object-oriented and functional design principles with best-practice patterns.
• Excellent collaboration, communication, and problem-solving skills.
• Authorized to work in the country of employment and available to work on-site.
  
  
  

Publishing Pay Range: $120,000.00 – $140,000.00 Annually

This position is based in office and requires employee to work on-site.