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High due to Tier-1 employer, metro Bangalore location, generalist AI title, and broad required skillset.
Low because core ML/AI engineering skills and frameworks are broadly transferable across industries.
Medium because explicit years plus multiple required AI/LLM, cloud, and data skills.
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Design, develop, and deploy AI solutions including Generative AI and Agentic AI frameworks to build intelligent and autonomous systems.
Build AI systems using prompt engineering, retrieval-augmented generation (RAG), multimodal AI, and autonomous reasoning frameworks.
Develop AI/ML models and data-driven applications, including production deployment on Azure and other cloud platforms, along with business dashboards using Power BI or Tableau.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
0–2 years of experience or relevant internships/projects in AI or Data Engineering.
Strong programming skills in Python, Java, or C#; practical experience with AI libraries like TensorFlow and PyTorch.
Experience with Generative AI (LLMs), Agentic AI systems, AI frameworks such as LangChain, Hugging Face, or OpenAI APIs, and familiarity with cloud AI tools and data platforms like Snowflake.
Early-career professionals with hands-on experience in AI and Data Engineering projects or internships.
Practically skilled in building and deploying AI models and solutions in cloud environments (Azure or similar).
Familiarity with cutting-edge Generative and Agentic AI technologies, frameworks, and real-time AI applications.