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Strong Tier-1 brand, mid-level experience requirement, and metro locations increase applicant competition.
Specialized GenAI, agentic frameworks, and cloud ML engineering skills moderately transfer across industries.
Explicit 3+ years plus mandatory GenAI, cloud, containerization, and CI/CD skills create high shortlisting strictness.
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Design, develop, and deliver scalable, secure AI/ML software solutions including agentic AI and LLM-powered applications serving thousands of users.
Collaborate cross-functionally with product managers, designers, and engineers to define requirements and align AI features with business objectives.
Maintain code quality through code reviews, secure coding, unit testing, and staying updated on AI and technology industry trends.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline.
Minimum 3 years of software engineering experience developing scalable applications on cloud platforms (AWS, Azure, or GCP).
Proficiency in Python (preferred) or Java/Go, REST API development, and experience with GenAI/LLM systems and at least one agentic AI framework.
Experience with AWS services (EC2/EKS, S3, IAM, RDS, AI services like Bedrock or SageMaker), Docker, Kubernetes, CI/CD pipelines, and version control (Git/GitLab).
Experienced engineer with hands-on development skills in GenAI, agentic AI frameworks, and cloud-native AI systems deployment.
Able to independently deliver high-quality, maintainable, and scalable AI software solutions with strong problem-solving and communication capabilities.
Capable of cross-functional collaboration focusing on integrating AI features with business goals, and committed to secure coding and operational risk management in AI applications.