- We are seeking a skilled Agentic AI Engineer to independently design and build intelligent autonomous AI agents capable of reasoning planning and executing tasks in dynamic environments
- You will lead feature development drive technical decisions within your workstream and mentor junior engineers as needed
- Design and implement production grade agentic architectures leveraging LLMs and reasoning engines
- Build and optimise multi agent systems for complex task orchestration and collaboration
- Integrate external tools APIs and knowledge bases for robust agent augmentation
- Tune agent performance for autonomy adaptability reliability and safety
- Embed agentic AI into enterprise workflows in collaboration with product teams
- Prototype advanced capabilities persistent memory goal planning and self correction loops
- Contribute to code reviews technical documentation and team best practices
- Strong Python programming with hands on AI ML framework experience
- Working knowledge of LLMs prompt engineering and basic fine tuning LoRA QLoRA
- Practical experience with agentic frameworks such as LangChain AutoGen or CrewAI
- Experience with API integration and tool augmented agent development
- Understanding of responsible AI safety guardrails and LLM evaluation strategies
- Familiarity with vector stores retrieval systems and RAG architectures
- Good to Have
- Exposure to MLOps practices experiment tracking model versioning MLflow DVC
- Knowledge of distributed systems and scalable backend architectures
- Experience with cloud AI services on Azure AWS or GCP
Technology->AI-Agentic AI->AgentOps,Technology->AI-Agentic AI->Agent Engineering,Technology->AI-AI Hyperscalers->Azure Agentic AI Services,Technology->AI-AI Hyperscalers->Google Agentic AI Services,Technology->AI-AI Hyperscalers->AWS Agentic AI Services,Technology->AI-Agentic AI->Google Cloud – Contact Center AI