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Tier-1 brand, metro location, mid-level generalist AI role increases candidate competition.
Specialized GenAI and agentic AI skills are transferable across industries but require ML domain experience.
Multiple mandatory technical filters (3+ years, GenAI, cloud, Kubernetes, AWS) make shortlisting strict.
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Design, develop, and deliver high-quality, scalable AI/ML software solutions using cloud platforms and industry-standard tools.
Collaborate cross-functionally to define requirements and ensure software aligns with business objectives and secure coding practices.
Lead or contribute technically within teams implementing agentic AI solutions, large language model (LLM) applications, and support continuous improvement in AI system performance and security.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline.
Minimum 3 years of software engineering experience building scalable applications on cloud platforms (AWS, Azure, or GCP).
Proficiency in Python (preferred) or Java/Go with experience in REST APIs, async frameworks, and testable code.
Experience with GenAI/LLM APIs, agentic AI frameworks (Strands, LangGraph, or Google ADK), AWS services (EC2/EKS, S3, IAM, RDS, AI services), Docker/Kubernetes, and CI/CD pipelines.
Experienced software engineer skilled in cloud-native AI/ML application development, particularly with GenAI, LLMs, and agentic AI frameworks.
Able to work both independently and in cross-functional teams, taking ownership for end-to-end delivery and embedding security and compliance into solutions.
Comfortable leading or advising teams on software design and collaborating across functions to ensure robust, scalable, and secure AI systems deployed at scale in enterprise environments.