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Tier-1 brand, metro location, broad popular AI skillset attract many applicants.
Role requires specialized ML/LLM and Agentic AI skills, limiting cross-industry transferability.
Multiple mandatory AI/GenAI, MLOps, and cloud skills required despite junior experience.
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Design, build, deploy, and monitor AI/ML models and agent frameworks, including Generative AI and Agentic AI solutions, for production environments.
Develop and integrate AI applications using AI frameworks (LangChain, Hugging Face, OpenAI APIs) on cloud infrastructure such as Azure, ensuring reliable performance and scalability.
Collaborate with cross-functional teams to create business-critical AI-powered data applications and dashboards with tools like Power BI and Tableau.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
0 to 2 years of relevant AI/Data Engineering experience with programming skills in Python, Java, or C#.
Hands-on experience with Generative AI (LLMs), Agentic AI systems, and AI frameworks including LangChain, Hugging Face, or OpenAI APIs.
Basic understanding of cloud computing and cloud-based AI tools (AWS SageMaker, GCP AI, Azure ML).
Experience working with real-time AI applications, Generative AI, or large language models (LLMs).
Familiarity with Agentic AI frameworks such as AutoGPT, OpenAI's Assistants API, or CrewAI.
Ability to work in collaborative, cross-disciplinary teams developing scalable AI-driven enterprise solutions.