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Strong employer brand, mid-level generalist title, metro location, and broad skillset increase applicant competition.
Skills like LLMs, prompt engineering, RAG and cloud are broadly transferable across industries.
Explicit 3–5 year requirement plus mandatory LLM, Python, cloud, RAG, and vector DB skills increases filter strictness.
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Design, build, and maintain Large Language Model (LLM) powered AI/ML solutions including custom GPTs and domain-specific assistants.
Develop full stack AI-enabled applications integrating LLM capabilities and support deployment, CI/CD pipelines, and MLOps workflows on Azure and/or AWS.
Collaborate with onshore leads, offshore teams, and stakeholders to deliver AI-powered applications, troubleshoot AI and application issues, and ensure responsible AI practices and production reliability.
3 to 5 years of overall software engineering experience.
Proficiency in Python programming and strong full stack development skills.
Hands-on experience with LLMs, Generative AI, prompt engineering, and GPT-based solution customization.
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 focus on Generative AI and LLM technologies.
Familiarity with cloud platforms Azure and AWS and practical knowledge of MLOps, DevOps, and production support.
Capable of independently designing AI solutions that comply with responsible AI principles and governance while integrating into enterprise applications.