LLM Engineer

Location : Noida (WFO)

Timings : 10 : 30 AM to 7 : 30 PM; Mon-Fri

About the Role

We are seeking a talented LLM (Large Language Model) Engineer to join our growing AI / ML team. The ideal candidate will have hands-on experience working with modern natural language processing (NLP) systems, large-scale model training, fine-tuning, and deployment. You will collaborate closely with data scientists, ML engineers, and product teams to design and optimize solutions powered by cutting-edge language models.

Key Responsibilities

• Design, train, fine-tune, and evaluate large language models (LLMs) for various use cases.
• Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques to optimize model outputs.
• Build pipelines for data preprocessing, tokenization, and dataset curation.
• Optimize model performance (latency, throughput, and cost-efficiency) for production-scale deployment.
• Integrate LLMs into applications, APIs, and business workflows.
• Research and experiment with new architectures, frameworks, and techniques in NLP and generative AI.
• Collaborate with cross-functional teams to translate product requirements into scalable AI solutions.
• Ensure ethical AI practices, data security, and compliance with AI governance standards.

Required Qualifications

Preferred Qualifications

Perks and benefits of working at Algoscale :

Skills Required

deployment strategies , Tensorflow, Gcp, Pytorch, Docker, Distributed Systems, Azure, Kubernetes, Python, Aws