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Tier-1 brand, metro location, and broad multi-skill ML/AI requirements increase candidate competition.
Role requires specialized ML/LLM engineering, agentic AI and deployment skills, so industry-specific background is highly significant.
Explicit 10+ years requirement plus mandatory LLM, cloud, and deployment experience makes shortlisting highly selective.
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Design, develop, and deliver end-to-end AI and Generative AI solutions including LLM integrations, RAG pipelines, APIs, and UI integrations.
Build intelligent agentic workflows using AI frameworks such as LangChain, MCP, and A2A, and optimize AI application architectures to improve performance and business outcomes.
Develop and maintain scalable, secure, cloud-native AI applications with CI/CD pipelines, containerization (Kubernetes), and AI-assisted development tools.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, IT, or related engineering discipline.
10+ years professional software engineering experience including 3+ years with AI, Machine Learning, or LLM-based applications.
Proficiency in Python and .NET with experience in enterprise-grade software development.
Hands-on experience with LLMs, Retrieval-Augmented Generation, prompt engineering, AI frameworks (e.g., LangChain), and cloud-native deployments using Kubernetes.
Experienced senior software engineer with specialized skills in state-of-the-art AI technologies and industrial automation domain alignment.
Proven ability to architect and operationalize AI-powered applications with considerations for scalability, reliability, and security.
Comfortable working within cross-functional and global teams integrating AI capabilities across software stacks including front-end and back-end components.