AI Engineer

Responsibilities

• AI Application Development
• Design, develop, integrate, test, and deploy AI assistants and intelligent agents using related technologies
• Build and maintain agentic applications leveraging Large Language Models (LLMs)
• Develop Proof of Concepts (PoCs) and production-ready AI solutions
• Integration and Workflow Automation
• Implement AI services and APIs that integrate seamlessly with enterprise applications
• Develop connectors and reusable integration components
• Design and implement event-driven architectures and workflow automation capabilities
• Support hybrid cloud deployment models and integration patterns
• Retrieval-Augmented Generation (RAG) and Prompt Engineering
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines
• Configure prompts, instructions, and guardrails to improve AI response quality and ensure responsible AI practices
• Implement observability and monitoring mechanisms to support AI applications
• Performance, Security and Reliability
• Perform performance tuning and cost optimization of AI workloads
• Ensure solutions comply with security, governance, and regulatory requirements
• Apply LLMOps best practices throughout the solution lifecycle
• Support production deployment, maintenance, and troubleshooting activities
• Stakeholder Collaboration
• Work closely with solution architects, data engineers, business analysts, and stakeholders to validate requirements and deliver solutions
• Participate in solution reviews and technical discussions
• Support user acceptance testing and transition into production
• Required Qualifications
• Education
• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related discipline

Requirements

• Experience in application development and AI solution implementation
• Hands-on experience in developing and integrating AI assistants and agents
• Experience with enterprise application integration and API development
• Familiarity with hybrid cloud deployment environments
• Technical Skills
• Large Language Models (LLMs)
• Agentic Applications
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• REST APIs and API Integration

Additional Information

Position Title AI Engineer / Technical Consultant - AI Integration Role Overview The AI Engineer / Technical Consultant - AI Integration is responsible for designing, developing, integrating, testing, and deploying AI-driven solutions that seamlessly integrate with enterprise applications and workflows. The role focuses on the implementation of intelligent assistants and agents leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and workflow orchestration capabilities. The successful candidate will translate architectural designs into scalable and secure production-ready solutions while adhering to responsible AI principles and organizational standards. This role requires strong software development capabilities, hands-on integration experience, and knowledge of agentic applications and LLMOps practices.

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Company Intel

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