LLM Engineer

2 weeks ago


Noida, India Valuecoders Full time

Job Description 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 managemulti-agent AI systemsusing frameworks such asLangChain, 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 forhallucination detection, factual alignment, safety, and ethical compliance. - Define metrics and benchmarks for continuous monitoring and quality assurance of deployed models.


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