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Mid-level fullstack role, metro Hyderabad location, popular title, and broad GenAI/cloud requirements increase competition.
Core fullstack and GenAI skills transfer across industries, though biotech domain knowledge moderately matters.
Explicit 5–9 years plus specific GenAI, cloud, and tool experience makes filters stringent.
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Develop and maintain full stack GEN AI web applications for Process Development functions (Drug Substance, Drug Product, Attribute Sciences, Combination Products).
Work on both front-end (React, Angular, Fast API) and back-end services (Python, Java, Node.js).
Maintain system uptime and performance; collaborate with design and product teams to translate user needs into technical requirements.
5 to 9 years of experience in full stack software engineering and web development.
Bachelor's or Master's degree in relevant field.
Experience with API integration, serverless, microservices architecture, AWS, SQL/NoSQL and vector databases, large language models (e.g., OpenAI), and frameworks like Langchain or llamaIndex.
Experience with prompt engineering, model fine tuning, and DevOps CI/CD pipelines.
Experienced in developing AI-driven applications specifically involving large language models and prompt engineering.
Capable of working across front-end and back-end technologies in a collaborative, cross-functional environment.
Has cloud computing skills demonstrated by AWS experience and understands emerging AI technologies and frameworks relevant to GEN AI applications.