About the Role
We are seeking an AI Engineer with expertise in Python, SQL, GenAI frameworks, LLM architecture, RAGs, embeddings, prompt tuning, and agentic AI to join our team. This role involves developing, deploying, and optimizing AI solutions on cloud platforms.
Responsibilities
- Apply agentic AI patterns to develop intelligent systems.
- Build and deploy AI agents.
- Develop and deploy production APIs for AI models.
- Containerize AI workloads using technologies like Docker.
- Deploy machine learning models on various cloud platforms (AWS, Azure, GCP).
- Develop and implement RAG pipelines (Retrieval-Augmented Generation).
- Implement and optimize LLM architecture.
- Integrate data effectively via REST APIs.
- Perform prompt tuning for Large Language Models (LLMs).
- Utilize embeddings and vector databases for efficient data processing.
Requirements
- Proficiency in Python and SQL.
- Experience with GenAI frameworks and LLM architecture.
- Knowledge of RAGs, embeddings, prompt tuning, and agentic AI.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Understanding of MLOps practices.
- Bachelor of Engineering, Bachelor of Science, Master of Engineering, or Master of Science degree.