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Mid-level, metro, generalist cloud+AI role with broad skills drives high candidate density.
Cloud and AI platform skills are transferable but require concrete cloud and platform experience.
Explicit 3–6 years requirement and mandatory cloud/platform fundamentals but flexible on specific stacks.
Develop and maintain reusable, production-quality platform services, APIs, and automation primarily on AWS supporting application modernization and AI workflows.
Contribute to AI-enabled solutions including LLM integrations, Retrieval-Augmented Generation (RAG), and agentic workflows within platform engineering context.
Participate in design, implementation, and CI/CD automation to enhance developer tooling, cloud-native applications, and internal platform capabilities.
3–6 years of professional software engineering experience with strong fundamentals and hands-on experience building reusable platform capabilities or services on AWS.
Proficiency in at least one modern programming language, with Python particularly relevant.
Experience with backend service/API development, software design principles, CI/CD pipelines, and cloud-native application/infrastructure concepts.
Work Experience Required: 3–6 years; Notice Period: Not explicitly mentioned in the JD.
Demonstrates depth in at least one area: AI & software engineering (especially Python and LLM integrations), platform & cloud engineering (including containers, Terraform, CI/CD), or full-stack engineering.
Able to operate effectively across adjacent parts of the technology stack and comfortable working in technical ambiguity within engineering teams.
Interested in building AI-enabled modern platforms and developer tooling, showing curiosity and willingness to learn new technologies.