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About the role
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. 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. 6–10 years of experience in AI/ML engineering, with at least 2+ years in building agentic AI systems or LLM-based applications.
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