AI Engineer

Job Summary Key Technical Skills:

• Generative AI, Large Language Models (LLMs), RAG, AI Agents
• Machine Learning, Deep Learning, NLP
• Python, SQL
• LangChain, LlamaIndex, Hugging Face
• Azure OpenAI, Azure AI Foundry, Azure Machine Learning
• Vector Databases (FAISS, Pinecone, ChromaDB)
• REST APIs, Microservices
• Docker, Kubernetes, Git, CI/CD, MLOps

Roles Responsibilities:

• Design, develop, and deploy AI, ML, and GenAI solutions.
• Build chatbots, copilots, AI agents, and RAG-based applications.
• Develop and optimize prompts, models, and AI workflows.
• Integrate AI services with enterprise applications and data sources.
• Collaborate with architects, developers, and business stakeholders to deliver AI solutions.
• Monitor model performance, troubleshoot issues, and implement improvements.
• Ensure adherence to security, compliance, and Responsible AI standards.
• Research and adopt emerging AI technologies and best practices.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.