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Medium—specialized GenAI skills narrow candidate pool despite generalist associate title and metro location.
Medium—LLM and agent engineering skills transferable but require specialized GenAI experience.
High—multiple mandatory GenAI, LLM, engineering and deployment competencies required.
Develop and implement AI agent frameworks and architectures leveraging Large Language Models (LLMs).
Advance and maintain backend solutions using Python, Django, and PostgreSQL, integrating with front-end technologies like React.
Work with modern DevOps practices, including CI/CD pipelines and cloud-based AI services to deploy AI-driven applications.
Advanced proficiency in Python and Django Framework.
Extensive experience with Large Language Models (LLMs) and AI agent development, including orchestration platforms and API design patterns.
Proficiency with React, PostgreSQL, SQL server, and database design.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with complex AI agent frameworks and Gen AI concepts such as Retrieval Augmented Generation (RAG) and agentic AI systems.
Skilled in integrating AI systems with cloud services like AWS, Azure, or GCP and familiar with DevOps and CI/CD pipelines.
Has practical knowledge of prompt engineering, machine learning, NLP, and AI safety/responsible AI practices for deploying scalable AI solutions.