Senior Agentic AI Engineer

In this role, you design autonomous agentic GenAI systems and bring experimentation to enterprise production. You work on cutting‑edge architectures, including RAG pipelines, LLM orchestration, multi‑agent setups, and NLP/vision applications, to deliver measurable value for clients. You will support AI strategy, governance, and MLOps/LLMOps, while applying semantic tech like ontologies and knowledge graphs to strengthen reasoning. This is a high‑impact, cross‑functional role that combines innovation with scalable delivery in real‑world contexts.Responsibilities

• Design modern GenAI architectures, including RAG pipelines and LLM orchestration.
• Develop and integrate multi‑agent systems and NLP/Computer Vision applications.
• Advise clients on AI strategy, MLOps/LLMOps, governance, and security in cloud environments.
• Apply semantic technologies (ontologies, Knowledge Graphs) to improve reasoning and information retrieval.
• Collaborate with cross‑functional teams and stay abreast of cutting‑edge AI tech.

• Bachelor in Computer Science (minimum); other related degrees acceptable.
• Expertise in Generative AI and Large Language Models (LLMs).
• Experience with RAG and AI Agents orchestration.
• Design experience with multi‑agent systems and external tools integration.
• Cloud security, authentication, and AI governance experience.
• Hands‑on MLOps/LLMOps, CI/CD, model monitoring, and scalable AI systems.