Agentic Artificial Intelligence Engineer

Agentic AI Engineer

• Strong programming skills in Python and experience with AI/ML frameworks. • Deep understanding of LLMs, prompt engineering, and fine-tuning techniques. • Familiarity with agentic frameworks (LangChain, AutoGen, CrewAI, or similar). • Knowledge of reinforcement learning, reasoning algorithms, and planning systems. • Experience with API integration and tool augmentation for agents. • Strong grasp of ethical AI principles and safety mechanisms. Experience: • 6–10 years of experience in AI/ML engineering, with at least 2+ years in building agentic AI systems or LLM-based applications. Preferred Qualifications: • Hands-on experience with GenAI-powered solutions and multi-modal models. • Background in distributed systems and scalable architectures. • Ability to work in fast-paced, research-driven environments Responsibilities: • Design and implement agentic architectures leveraging LLMs and reasoning engines. • Develop multi-agent systems for task orchestration and collaboration. • Integrate external tools, APIs, and knowledge bases for agent augmentation. • Optimize agent performance for autonomy, adaptability, and safety. • Collaborate with product teams to embed agentic AI into business applications. • Research and prototype advanced capabilities like memory, planning, and self-improvement