LLM Engineer

Key Responsibilities:

• Fine-tune, prompt-engineer, and customize LLMs to meet specific business and technical objectives.
• Design and implement scalable APIs and services that integrate LLMs into real-world applications.
• Work with cross-functional teams (data scientists, product managers, software engineers) to understand requirements and propose LLM-based solutions.
• Preprocess and manage large-scale datasets for model training and evaluation.
• Optimize model inference for latency, memory usage, and scalability.
• Evaluate model performance using appropriate metrics and improve based on feedback.
• Ensure ethical AI usage, bias mitigation, and compliance with data privacy regulations.

 

Required Qualifications:

• Bachelor’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Hands-on experience with LLMs such as GPT-3/4, Claude, LLaMA, Mistral, Gemini, or custom fine-tuned models.
• Proficient in Python and deep learning frameworks such as TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with prompt engineering, fine-tuning and evaluation techniques.
• Understanding of tokenization, embeddings, and vector database integration.
• Knowledge of distributed training, multi-GPU environments, and cloud platforms (AWS, GCP, Azure).
• Strong problem-solving, analytical, and communication skills.

 

Required Candidate Level:
Mid-level