remote
AI Developer - Knick Global
Software Engineer
AI Developer focused on fine‑tuning large language models, preparing custom datasets, and deploying scalable AI solutions on cloud or on‑premise infrastructure with API integration.
About the role
Key Responsibilities
- Fine‑tune pre‑trained AI/LLM models using company‑provided datasets.
- Prepare, clean, and optimize training datasets for model training.
- Evaluate model performance and improve accuracy through iterative training.
- Deploy and manage trained AI models on cloud or on‑premise infrastructure.
- Optimize model inference speed, resource utilization, and scalability.
- Integrate AI models with web applications and backend services through APIs.
- Monitor model performance and retrain models as needed.
Requirements
- Proven experience fine‑tuning large language models and deploying them in production.
- Strong background in data preparation, cleaning, and feature engineering.
- Hands‑on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Solid understanding of API design and integration with web services.
- Excellent problem‑solving skills and ability to optimize model inference for speed and cost.