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Mid-level, popular AI/ML title, metro Hyderabad, and broad GenAI skillset increase applicant competition.
Agentic AI and cloud deployment skills are transferable, though life-sciences domain preference increases sensitivity slightly.
Explicit 5–7 years requirement plus mandatory Agentic AI implementations and cloud/container expertise increases filtering stringency.
Design, develop, and deploy AI/ML and Generative AI solutions including Retrieval-Augmented Generation and autonomous agent systems for complex business applications.
Develop reusable libraries and extensible platform patterns for multi-domain agentic AI applications and implement versioning and testing strategies for agent workflows.
Collaborate on requirements, mentor junior engineers, conduct code reviews, and maintain documentation while deploying and monitoring AI/ML models in production.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5-7 years of software engineering experience focused on Agentic AI and AI/ML.
Proficiency in Python, JS/React, cloud platforms (AWS), containerization (Docker, Kubernetes), and data tools like Pandas, NumPy, SQL.
Experience implementing and deploying at least two Agentic AI solutions in production.
Experienced in developing and operationalizing agentic AI systems with multi-step autonomous task execution beyond chatbots.
Capable of working in global, distributed teams and coordinating with offshore technical development groups.
Preferably has prior exposure to global life sciences domain, particularly PDS functional area, with strong communication and presentation skills.