Description

Design and build agentic AI systems leveraging LLMs and reasoning engines.

Responsibilities

• Design and implement agentic architectures using LLMs and reasoning engines.
• Develop multi-agent systems for task orchestration and collaboration.
• Integrate external tools, APIs, and knowledge bases to augment agents.
• Optimize agent performance for autonomy, adaptability, and safety.
• Research and prototype advanced capabilities like memory, planning, and self-improvement.

Required Skills

• 6–10 years of experience in AI/ML engineering.
• Minimum 2+ years building agentic AI systems or LLM-based applications.
• Strong programming skills in Python.
• Experience with AI/ML Frameworks.
• Familiarity with agentic frameworks like LangChain, AutoGen, or CrewAI.
• Experience with API integrations and tool augmentation.
• Knowledge of LLMs, prompt engineering, and fine-tuning techniques.
• Understanding of reinforcement learning, reasoning algorithms, and planning systems.
• Knowledge of ethical AI principles and safety mechanisms.

Preferred Skills

• Hands-on experience with GenAI-powered solutions and multi-modal models.
• Background in distributed systems and scalable architectures.

Key Skills

Education

Any Gradute