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Tier-1 brand plus mid-level title, metro location, and generalist Python/ML skillset create high applicant density.
ML/LLM skills transfer across industries, but enterprise security and finance context moderately restrict portability.
Mandatory 3+ years, Python plus LLM/GenAI and enterprise security requirements enforce strict filters.
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Design, develop, and troubleshoot software solutions integrating Gen AI models with enterprise workflows, ensuring secure, stable, and scalable delivery.
Build and maintain data pipelines, Agentic workflows to automate business processes, and create high-quality production code meeting design constraints.
Leverage AI-assisted development tools to improve code quality and productivity while adhering to responsible AI practices and software development lifecycle standards.
Minimum 3 years applied experience in software engineering with formal training or certification.
Advanced degree in Computer Science, Data Science, or equivalent discipline required.
Strong hands-on expertise with Python and experience in Python frameworks like Django, Flask, or FastAPI.
Experience in LLMs, Gen AI solution integration, agentic AI frameworks (e.g., Langchain), and use of enterprise-authorized AI-assisted software development tools.
Experienced in designing and implementing AI-driven enterprise software solutions within large corporate environments using modern programming and database querying languages.
Proficient in building automated workflows (Agentic AI) and data pipelines, with a strong grasp of secure, responsible AI practices and agile software development.
Demonstrates expertise in cloud technologies, ML processes, CI/CD pipelines, and strong understanding of software resiliency and security requirements.