Must-Have

(Ideally should not be more than 3-5)

- Solid programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)
- Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks
- Proficiency with transformer architectures and fine-tuning techniques
- Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

•

Skill Set 1 • Experience with RAG systems, vector databases, and knowledge retrieval

- Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Skill Set 2 • Familiarity with multi-agent systems and emergent behavior

Skill Set 3 • Python

Good to Have • Transformer architectures and fine-tuning techniques

SN Responsibility of / Expectations from the Role





1 Design and build AI agents that utilize large language models for reasoning and decision-making

2 Develop systems where generative AI components enable sophisticated planning and problem-solving

3 Fine-tune and optimize large language models for specific agentic tasks

4 Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

5 Build reflective agents that can critique and improve their own reasoning processes

6 Implement memory architectures that allow agents to learn from experience and maintain context

📌 Gen AI (India)
🏢 Clifyx
📍 India