Agentic AI Engineer

Agentic AI Engineer

• 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. • 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.