What are the responsibilities and job description for the Agentic AI Engineer position at Largeton Group?
Job Summary (Agentic AI Engineer)
- Design, develop, and deploy intelligent agent-based AI systems using Large Language Models (LLMs) and advanced AI frameworks.
- Implement agentic AI architectures enabling autonomous decision-making and task execution.
- Integrate LLMs (such as GPT) into multi-agent workflows for complex reasoning, planning, and problem-solving.
- Develop scalable, production-ready AI solutions primarily using Python.
- Optimize system performance and reliability in real-world environments.
- Collaborate with cross-functional teams to gather requirements and deliver innovative AI solutions.
- Utilize cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) for deployment.
- Apply frameworks and libraries such as PyTorch, LangChain, and RAG for AI/ML development.
- Possess advanced skills in Python programming and hands-on experience with LLMs.
- Preferably knowledgeable in reinforcement learning, knowledge graphs, planning algorithms, and vector databases.