Agentic AI Engineer

We are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent agent-based systems leveraging Large Language Models (LLMs) and advanced AI frameworks.

The ideal candidate will have strong expertise in Agentic AI architectures, Python programming, and hands-on experience with LLMs for real-world applications.

Role: Agentic AI Engineer

Location: Alpharetta GA

Must have skills: LLMs, Python, AWS, Azure, Google Cloud Platform, Docker, Kubernetes, PyTorch, RAG, GPT, LangChain

Domain Experience (If any ) Retail

Key Responsibilities

• Design and implement agentic AI systems capable of autonomous decision-making and task execution.
• Integrate LLMs into multi-agent workflows for reasoning, planning, and problem-solving.
• Develop scalable solutions using Python and modern AI frameworks. Optimize performance and reliability of agent-based systems in production environments.
• Collaborate with cross-functional teams to define requirements and deliver innovative AI solutions.

Mandatory Skills Agentic AI Expertise:

• Strong understanding of agent-based architectures, autonomous agents, and multi-agent systems. Experience building systems that leverage reasoning, planning, and goal-directed behavior.
• Python Programming: Advanced proficiency in Python for AI/ML development.
• Familiarity with libraries such as LangChain, Transformers, PyTorch, or TensorFlow.
• LLMs (Large Language Models): Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA, or similar).
• Ability to fine-tune, prompt-engineer, and integrate LLMs into applications.
• Preferred Skills Knowledge of Reinforcement Learning, Knowledge Graphs, or Planning Algorithms.
• Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
• Familiarity with vector databases and retrieval-augmented generation (RAG).