Senior Artificial Intelligence Engineer

We are seeking a highly skilled Sr. AI Engineer to join our team. The ideal candidate will have hands-on experience designing, developing, and integrating AI-driven solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-based AI services. This role involves building Proofs of Concept (PoCs), developing intelligent automation workflows, and integrating AI capabilities with enterprise applications to solve real-world business challenges.

Skill / Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
• Strong proficiency in Python programming.
• Experience working with REST APIs and enterprise application integrations.
• Hands-on experience with AI/ML integration projects.
• Strong knowledge of Large Language Models (LLMs) and Generative AI.
• Experience with Prompt Engineering techniques.
• Hands-on experience implementing Retrieval-Augmented Generation (RAG) frameworks.
• Experience with cloud AI platforms, including:- Azure OpenAI Services, OpenAI APIs, AWS AI Services.
• Experience with vector databases and semantic search implementations.
• Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Experience deploying AI solutions in cloud environments.
• Knowledge of CI/CD pipelines and DevOps practices for AI applications.
• Experience working in Agile/Scrum environments.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration abilities.

Job Responsibilities

• Design, develop, and implement AI-powered applications and intelligent automation solutions.
• Build and validate Proofs of Concept (PoCs) using modern AI and Machine Learning technologies.
• Integrate Large Language Models (LLMs) with enterprise applications through REST APIs and other integration methods.
• Develop and optimize prompt engineering strategies to improve AI model performance and response quality.
• Design and implement Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge retrieval.
• Work with cloud AI platforms such as Azure OpenAI, AWS AI Services, or OpenAI APIs.
• Develop scalable Python-based backend services and AI integrations.
• Collaborate with cross-functional teams including software engineers, architects, product owners, and business stakeholders.
• Troubleshoot, optimize, and maintain AI solutions while ensuring performance, scalability, and security.
• Stay current with emerging AI technologies, frameworks, and industry best practices.