AI Engineer

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.

Key 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

Experience

• 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