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Tier-1 brand, remote role, mid-level ML title, metro location, and common experience range increase competition.
LLM and full-stack AI skills transfer across industries, though enterprise domain familiarity is beneficial.
Explicit 3–5 years plus mandatory LLM, RAG, cloud, and MLOps requirements raise shortlisting rigidity.
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Design, build, and maintain Large Language Model (LLM)–powered AI solutions including custom GPTs and domain-specific assistants.
Develop full stack AI-enabled applications integrating LLM capabilities, including backend services, APIs, and UI.
Deploy and support AI solutions on Azure/AWS, including CI/CD pipelines, MLOps workflows, and production support.
3–5 years of overall software engineering experience.
Proficiency in Python and strong full stack development skills.
Hands-on experience with LLMs, Generative AI, prompt engineering, GPT-based solutions, and familiarity with RAG architectures and vector databases.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with minimum 15 years of formal education.
Experienced full stack developer who has transitioned into AI/ML with strong focus on Generative AI and prompt engineering.
Comfortable working collaboratively with onshore and offshore teams and business stakeholders in Agile environments.
Familiar with cloud platforms (Azure/AWS), MLOps, DevOps, and production-level AI application deployment and monitoring.