Sr. Lead/Sr. Engineer/Engineer – Enterprise Gen AI

 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

As an AI Engineer, you will be the architect of intelligence, implementing advanced models and autonomous workflows that power our agentic applications.

• Focus: RAG, Model Fine-tuning, and Agentic Workflows

Key Responsibilities:

• Design and implement RAG-based (Retrieval-Augmented Generation) solutions to enhance LLM capabilities.

• Develop and optimize LLM fine-tuning strategies for domain-specific adaptation (e.g., Wireless/5G).

• Build and maintain agentic workflows for autonomous, multi-step AI systems.

• Create robust evaluation frameworks to measure and iterate on model performance.

Requirements:

• Experience: 1-8 years in AI/Machine Learning engineering.

• Technical Stack: Python, PyTorch/TensorFlow, and Vector Databases (Milvus, Pinecone, etc.).

• AI Specialization: Experience with LangChain, LlamaIndex, and Transformers. Knowledge of prompt engineering and Reinforcement Learning is highly valued.

  • Education: Bachelor’s in CS/Engineering; Masters with ML specialization preferred.