We are seeking a Senior AI Engineer with strong expertise in Prompt Engineering, LLM fine tuning, and Small Language Model (SLM) development to design, train, optimize, and deploy domain-specialised language models.
Requirements
- Master’s degree or PhD in Computer Science, AI, Machine Learning, or a related field.
- 4–6 years of experience in ML/NLP with 3+ years focused on LLMs or foundation models.
- Hands-on experience fine-tuning open-source models such as LLaMA, Mistral, Falcon, or Qwen.
- Strong understanding of transformers, tokenization, embeddings, and attention mechanisms.
- Strong Python engineering skills and experience with PyTorch.
- Experience with GPU-based training and inference.
- Familiarity with Hugging Face, Accelerate, DeepSpeed, and Triton.
- Experience working in regulated environments.
- Understanding of data privacy, access controls, and AI auditability.
Benefits
- Opportunity to work with a purpose-built AI-first enterprise automation platform for healthcare and insurance.
- Collaborative work environment with speech AI and document AI teams.
- Experience deploying models in private cloud or on-premise environments with strong security controls.