[DT] - AI / LLM Engineer

We are seeking an experienced AI/LLM Engineer with expertise in building, fine-tuning, and deploying state-of-the-art Large Language Model (LLM) solutions. Key Responsibilities LLM Development & Fine-TuningFine-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 OrchestrationBuild 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 & ReasoningConstruct 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 & SafetyDevelop 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.

The ideal candidate will have hands-on experience in prompt engineering, RAG pipelines, multi-agent orchestration frameworks, knowledge graph reasoning, and model evaluation methodologies. You will play a critical role in designing intelligent, scalable, and safe AI-driven systems for real-world applications.