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Tier-1 brand, Bangalore location, and popular AI/LLM junior role increase candidate competition.
AI/ML and GenAI skills are broadly transferable across industries.
Explicit 0–2 years and specific AI/GenAI, cloud, and data tool requirements create moderately strict filters.
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Design, develop, and deploy AI, including Generative AI and Agentic AI frameworks, to build intelligent and autonomous systems with real-world business impact.
Develop data-based applications and high-visibility business dashboards using tools like Power BI and Tableau.
Collaborate with cross-functional teams to integrate AI/ML models and software applications on cloud platforms such as Azure, and manage data pipelines using Snowflake.
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# and experience with AI libraries such as TensorFlow and PyTorch.
Practical experience with Generative AI (LLMs) and Agentic AI systems frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
Experience or familiarity with building production-ready AI applications leveraging AI-assisted coding agents.
Strong understanding of cloud-based AI tools (AWS SageMaker, GCP AI, Azure ML) and data management with platforms like Snowflake, MongoDB, or Postgres.
Interest in developing real-time AI applications and deep knowledge of Agentic AI frameworks such as AutoGPT and OpenAI's Assistants API.