Distributed Cloud | AI/ML Engineer

📋 Description

• Design, develop, and deploy end-to-end AI pipelines, focusing on integrating Large Language Models
• Work closely with stakeholders to transition AI prototypes and experimental agents into scalable
• Develop robust, efficient code using Python and frameworks such as LangChain, LlamaIndex, or
• Implement advanced monitoring for AI applications, focusing on output quality, hallucination
• Collaborate with Data Engineers to build efficient data pipelines for vector databases (Chroma
• Stay at the forefront of the rapidly evolving Generative AI landscape, exploring new techniques in

🎯 Requirements

• 3+ years as an AI Engineer, ML Developer, or Software Engineer with a focus on AI integration.
• Strong proficiency in Python (clean, production-ready code) and experience with LLM orchestration
• Practical experience with Generative AI, Prompt Engineering, and fine-tuning Foundation Models
• Knowledge of Vector DBs (e.g., Pinecone, Weaviate, Chroma) and proficiency in SQL for data handling.
• Experience deploying AI applications on Cloud platforms (Azure AI, Vertex AI, or AWS Bedrock) and
• Familiarity with Docker and API development (FastAPI/Flask) to build scalable AI services.