AI Engineer

Position TitleAI Engineer / Technical Consultant – AI IntegrationRole OverviewThe 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 ResponsibilitiesAI 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 solutionsIntegration 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 patternsRetrieval-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 applicationsPerformance, 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 activitiesStakeholder 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 productionRequired QualificationsEducation• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related disciplineExperience• 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 environmentsTechnical Skills• Large Language Models (LLMs)• Agentic Applications• Retrieval-Augmented Generation (RAG)• Prompt Engineering• REST APIs and API Integration