Description

You will design and deploy scalable AI architectures, focusing on AI agents and Large Language Model applications.

Responsibilities

• Design scalable, modular architectures for AI agents, LLM-based applications, and generative AI models.
• Implement and optimize generative AI models using frameworks like OpenAI, LangChain, and RAG.
• Deploy AI solutions using cloud platforms such as Azure and GCP while applying MLOps best practices.
• Align AI-driven solutions with business objectives, focusing on scalability, security, and cost-effectiveness.
• Establish responsible AI practices to ensure data privacy, security, and bias mitigation.
• Assess AI agent performance and continuously optimize models for improved outcomes.

Required Skills

• 5+ years of experience designing and deploying AI-powered agents and multi-agent architectures.
• Expertise in Large Language Models (LLMs) including GPT, BERT, and Llama.
• Proficiency with AI frameworks such as TensorFlow, PyTorch, and Hugging Face.
• Hands-on experience with Retrieval Augmented Generation (RAG) and vector databases.
• Experience with Azure Cognitive Services and containerized deployment using Docker and Kubernetes.
• Strong background in API-driven development, microservices, and event-driven architectures.
• Practical knowledge of MLOps, CI/CD pipelines, and production model monitoring.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with AI orchestration frameworks including AG2, CrewAI, and AutoGPT.
• Familiarity with multi-modal AI models and AI personalization techniques.
• Advanced academic background (PhD/Master's) in AI, ML, or Data Science.

Key Skills

Education

Bachelor's degree