LLM Engineer (Large Language Model Engineer)

About this role

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: Fine-tune and optimize LLMs (e.g., GPT, LLaMA, Mistral) for specific business tasks. Build pipelines for data preprocessing, training, evaluation, and inference.

Design retrieval-augmented generation (RAG) pipelines using vector databases. Integrate LLMs with downstream systems using APIs or microservices. Implement prompt engineering techniques for few-shot and zero-shot learning. Benchmark model performance and apply techniques for cost optimization and latency reduction. Ensure safety, fairness, and compliance in model outputs. Required Qualifications: Advanced degree (MSc/PhD preferred) in AI, Machine Learning, Computer Science, or related field.

3+ years in ML/NLP roles; 1+ year hands-on with LLMs. Strong experience with Hugging Face, OpenAI APIs, LangChain, or similar. Deep understanding of Transformer architecture and attention mechanisms. Familiarity with fine-tuning methods (LoRA, QLoRA, PEFT, RLHF). Proficiency with Python, PyTorch or TensorFlow. Preferred Qualifications: Experience deploying models in production using cloud services (AWS/GCP/Azure). Knowledge of vector stores (e.g., Pinecone, Weaviate, FAISS).

Contributions to open-source LLM frameworks or research publications. Originally posted on Himalayas

Source listing: himalayas_sweden_p2