LLM Engineer

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

• Minimum 2 years of professional experience in AI/ML engineering or NLP.
• Strong programming skills in Python and familiarity with libraries such as PyTorch, TensorFlow, Hugging Face Transformers.
• Experience with fine-tuning LLMs (e.g., GPT, LLaMA, Falcon, Mistral, etc.).
• Knowledge of prompt engineering, embeddings, and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Understanding of distributed systems, model optimization, and deployment strategies.

Preferred Qualifications

• Experience with RAG (Retrieval-Augmented Generation) and knowledge of LangChain / LlamaIndex.
• Familiarity with MLOps tools (MLflow, Weights & Biases, Vertex AI, SageMaker).
• Background in data engineering and pipeline automation.
• Publications, open-source contributions, or projects in NLP/LLMs.
• Strong problem-solving and research mindset.

Perks and benefits of working at Algoscale:

• Opportunity to collaborate with leading companies across the globe.
• Opportunity to work with the latest and trending technologies.
• Competitive salary and performance-based bonuses.
• Comprehensive group health insurance.
• Flexible working hours and remote work options. (For some positions only)
• Generous vacation and paid time off.
• Professional learning and development programs and certifications.