Gen Ai Engineer

Qualifications- 2 to 10 years of professional experience in software development. - High proficiency in Python and its relevant libraries - Strong 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. - Experience with RESTful APIs and microservices architecture. - Strong problem-solving skills, analytical thinking, and attention to detail. - Excellent communication and collaboration skills.Roles & Responsibilities- Design & 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. - Participate in code reviews, contribute to architectural discussions, and promote best practices within the team. - Document technical designs, processes, and model specifications.Good to Have Skills & Experience:- Familiarity with Lang Graph, LangSmith and/or relevant frameworks. - Exposure to Agentic/Multi-Agent systems. - Cognizance on Cloud Storage, Cloud Functions / Cloud Run, Cloud Logging / Monitoring.

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