onsite
AI Engineer - iBase-t Intelligence-Based Technology
AI Engineer
AI Engineer focused on designing, building, and deploying production‑ready AI solutions using LLMs, RAG, and workflow automation to enhance internal productivity and deliver high‑accuracy enterprise products.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI pipelines that integrate Large Language Models and Retrieval‑Augmented Generation techniques.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Implement robust monitoring, testing, and continuous improvement processes for AI models in production.
- Automate internal workflows and data pipelines to increase operational efficiency.
- Document architecture, code, and best practices for knowledge sharing across the engineering team.
Requirements
- Strong software engineering background with proficiency in Python and modern ML frameworks.
- Hands‑on experience deploying LLMs and building RAG systems in a production environment.
- Knowledge of workflow automation tools and cloud platforms (e.g., AWS, Azure).
- Excellent problem‑solving skills and ability to translate complex ideas into reliable business outcomes.
- Effective communication skills for collaborating with stakeholders and domain experts.
Skills
pythonmachine learning