Generative AI Engineer

Job Description

Required Skills & Qualifications:

• 2+ years of professional experience in software development.
• Proficiency in Python .
• Hands-on experience with any cloud ecosystem.
• Exposure to Large Language Models (LLMs)
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and collaboration skills.

Roles & Responsibilities

Roles and Responsibilities:

• Develop, and implement generative AI applications using Python and any cloud 's AI/ML services.
• Collaborate with product managers, data scientists, and other engineers to understand requirements and translate them into technical specifications for GenAI solutions.
• Stay up-to-date with the latest advancements in generative AI, large language models (LLMs), and related technologies.
• Develop and integrate APIs and services for seamless interaction between GenAI models and existing systems.
• Write clean, efficient, and reusable code following best practices.
• Troubleshoot and debug applications to ensure optimal performance.
• Write unit test cases

Good to Have Skills & Experience:

• Experience with RESTful APIs and microservices architecture.
• Experience with Retrieval-Augmented Generation (RAG) frameworks and implementations
• Familiarity with Lang-Chain or similar frameworks.
• Cognizance on Cloud Storage, Cloud Functions / Cloud Run, Cloud Logging / Monitoring.