Generative AI Engineer

Required Skills & Qualifications:

4+ years of professional experience in software development.

Proficiency in Python and relevant libraries.

Hands-on experience with any cloud ecosystem.

Exposure to Large Language Models (LLMs)

Experience with Retrieval-Augmented Generation (RAG) frameworks and implementations

Familiarity with Lang-Chain or similar frameworks.

Strong problem-solving skills, analytical thinking, and attention to detail.

Excellent communication and collaboration skills.

Roles & 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.

Cognizance on Cloud Storage, Cloud Functions / Cloud Run, Cloud Logging / Monitoring.