About the 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