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Strong employer brand, entry-level GenAI role in metro with broad desirable skills increases candidate competition.
Core GenAI and engineering skills are highly transferable across industries.
Prefers students with specific academic standing and GenAI interest but few rigid technical mandates.
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Build and integrate Generative AI applications collaborating with AI engineers and product teams.
Develop APIs, microservices, and data pipelines to support AI workloads with focus on performance, scalability, and security.
Contribute to platform engineering using Docker, Kubernetes, CI/CD, and cloud services; support integration with LLMs and prompt engineering workflows.
Currently a final-year or pre-final year student in Computer Science, IT, ECE, Data Science, or AI/ML disciplines.
Strong programming skills in Python or JavaScript/TypeScript.
Familiarity with REST APIs, microservices, basic DevOps concepts, and cloud platforms like Azure or AWS.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working in an agile, team-oriented environment with fast learning and problem-solving abilities.
Interest and curiosity in Generative AI technologies and healthcare applications.
Experience or exposure to cloud infrastructure, containerization tools, and familiarity with LLMs or NLP concepts.