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Mid-level role, metro Hyderabad, broad GenAI skillset, and strong employer brand increase applicant competition.
GenAI, Python, and cloud skills are broadly transferable, though regulated environment experience adds specificity.
Explicit 5–9 years plus mandatory GenAI, cloud, security, and software skills make shortlisting highly strict.
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Design, develop, test, deploy, and support GenAI solutions including LLM-powered assistants, agents, Custom GPTs, and RAG applications on enterprise platforms.
Build scalable retrieval-augmented generation pipelines and implement secure integration, identity, and AI safety controls for GenAI applications.
Collaborate cross-functionally with architects, data engineers, DevOps, cybersecurity, and business stakeholders and maintain CI/CD pipelines and deployment configurations on AWS.
Any degree in Computer Science, IT, Engineering, Data Science or related field.
5 to 9 years relevant experience; 4+ years in software development and 2+ years hands-on building or supporting production GenAI applications or comparable AI software.
Proficiency in Python, AWS cloud-native solutions (Lambda, EKS, API Gateway), secure REST/GraphQL API design, and modern web frameworks (TypeScript, React, Next.js).
Experience in prompt design, embeddings, vector databases, retrieval pipelines, automated testing, CI/CD, and use of AI-assisted development tools. Work Experience Required: 5 to 9 years relevant experience explicitly mentioned.
Experienced AI software engineer with a strong background in developing and deploying production-grade GenAI and retrieval-augmented solutions in cloud environments (preferably AWS).
Skilled in secure, scalable API and integration design, with expertise in vector search, agent orchestration, and responsible AI safeguards.
Capable of working in complex, cross-functional agile teams with effective communication and technical documentation abilities.