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Tier-1 brand, metro location, mid-level 3-5yrs, broad full-stack+LLM+cloud skillset increase competition.
LLM, Python, fullstack and cloud skills are broadly transferable across industries with low domain lock-in.
Explicit 3–5 years plus mandatory LLM, Python, RAG, cloud and MLOps experience makes filters strict.
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Design, build, and maintain Large Language Model (LLM)-powered AI/ML solutions including custom GPTs and Retrieval-Augmented Generation (RAG) pipelines.
Develop full-stack AI-enabled applications and integrate LLM capabilities into enterprise applications, supporting backend, APIs, and UI.
Support cloud deployment and MLOps workflows on Azure/AWS, including CI/CD, model versioning, monitoring, and ensuring production security and reliability.
3-5 years of overall software engineering experience with strong full stack development skills.
Proficiency in Python programming and hands-on experience with LLMs, Generative AI, prompt engineering, and GPT-based solution customization.
Experience with RAG architectures, vector databases, and cloud platforms (Azure and AWS).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Full stack developer with practical experience transitioning into AI/ML and developing Generative AI applications.
Experienced in collaborating across onshore/offshore teams and working with business stakeholders to deliver AI-powered applications.
Demonstrated ability to support production AI workloads including CI/CD pipelines, MLOps, and responsible AI governance.