LLM Engineer

LLM Development & Fine-Tuning

• Fine-tune large language models on domain-specific datasets.
• Optimize prompts and context strategies to maximize performance across diverse use cases.
• Implement and evaluate RAG (Retrieval-Augmented Generation) pipelines for knowledge-grounded AI responses.

Multi-Agent Orchestration

• Build and manage multi-agent AI systems using frameworks such as LangChain, AutoGen, CrewAI, and Haystack .
• Design intelligent workflows where multiple AI agents collaborate, coordinate, and reason effectively.

Knowledge Graphs & Reasoning

• Construct and maintain knowledge graphs to enhance contextual reasoning and factual grounding of LLMs.
• Integrate graph-based reasoning with LLM pipelines for improved interpretability and accuracy.

Evaluation & Safety

• Develop robust evaluation pipelines for hallucination detection, factual alignment, safety, and ethical compliance .
• Define metrics and benchmarks for continuous monitoring and quality assurance of deployed models.