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Tier-1 brand, metro location, mid-level band, and broad LLM/cloud skillset increase candidate competition.
Highly specialized agentic AI and LLM engineering skills reduce cross-industry transferability.
Explicit 5–10 years requirement plus mandatory LLM, prompt engineering, RAG, cloud, and productionization skills.
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Design, develop, and productionize enterprise-grade agentic AI applications incorporating planning, reasoning, tool invocation, and multi-step workflows.
Develop and evaluate AI/ML and Generative AI solutions using Python, including RAG-based retrieval and evaluation frameworks for agent performance and quality metrics.
Collaborate cross-functionally with data scientists, engineers, and stakeholders to translate business requirements into scalable, secure, and measurable AI applications deployed on cloud platforms (Azure/AWS).
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field.
5–10 years of professional experience with strong hands-on Python programming and AI/ML development.
Practical experience with LLMs/Generative AI models (e.g., GPT, Claude, Llama) and agentic AI application frameworks like LangChain or equivalents.
Experience with cloud deployment using Azure or AWS and software engineering fundamentals including API design, unit testing, and secure coding.
Work Schedule: On-premise
Experienced in designing modular, testable, production-quality AI applications integrating multi-agent workflows and tool/function calling logic.
Skilled in prompt engineering, retrieval-augmented generation (RAG), evaluation frameworks, and orchestration of AI agents.
Comfortable working in interdisciplinary teams and translating complex business problems into technical AI solutions with consideration for security, scalability, and governance.