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Strong Tier-1 brand, broad software engineer title, and mid-level 2+ years requirement create high competition.
Core ML/GenAI and cloud skills transfer across industries, but specialized LLM and security expectations raise domain bias.
Explicit years plus mandatory Python, GenAI, LLM orchestration, and AWS experience make shortlisting highly strict.
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Design, develop, and maintain secure, high-quality code primarily in Python, with ability to read and enhance Java services.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity while validating AI outputs.
Build and operate applications on AWS infrastructure using services like S3, Lambda, Redshift, ECS, and EKS.
2+ years of applied software engineering experience with formal training or certification.
Hands-on experience using enterprise-authorized AI-assisted development tools with ability to critically evaluate AI outputs.
Strong Python skills for AI/data processing and production engineering.
Work Experience Required: 2+ years.
Experienced in integrating Generative AI models (e.g., OpenAI) and LLM orchestration in business solutions.
Skilled in AWS cloud services operation, preferably AWS certified.
Capable of rapid prototype-to-production execution, technical troubleshooting, and mentoring peers.