LLM Engineer

1 week ago

Noida, Uttar Pradesh, India Algoscale Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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