LLM Engineer (Large Language Model Engineer)

At NestifyTech Solutions, looking for a highly skilled LLM Engineer to develop, fine-tune, and integrate large language models (LLMs) into enterprise-grade applications. This role requires deep expertise in NLP, model architecture, prompt engineering, and deployment of LLMs at scale.
Responsibilities:

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Fine-tune and optimize LLMs (e.g., GPT, LLaMA, Mistral) for specific business tasks.

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Build pipelines for data preprocessing, training, evaluation, and inference.

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Design retrieval-augmented generation (RAG) pipelines using vector databases.

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Integrate LLMs with downstream systems using APIs or microservices.

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Implement prompt engineering techniques for few-shot and zero-shot learning.

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Benchmark model performance and apply techniques for cost optimization and latency reduction.

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Ensure safety, fairness, and compliance in model outputs.

Required Qualifications:

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Advanced degree (MSc/PhD preferred) in AI, Machine Learning, Computer Science, or related field.

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3+ years in ML/NLP roles; 1+ year hands-on with LLMs.

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Strong experience with Hugging Face, OpenAI APIs, LangChain, or similar.

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Deep understanding of Transformer architecture and attention mechanisms.

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Familiarity with fine-tuning methods (LoRA, QLoRA, PEFT, RLHF).

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Proficiency with Python, PyTorch or TensorFlow.

Preferred Qualifications:

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Experience deploying models in production using cloud services (AWS/GCP/Azure).

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Knowledge of vector stores (e.g., Pinecone, Weaviate, FAISS).

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Contributions to open-source LLM frameworks or research publications.

Originally posted on Himalayas