Description
LLM Engineer
Department: Data Science
Experience: 2+ Years
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.
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