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Tier-1 brand, mid-level AI engineer role, and metro location create high competition.
Specialized LLM, agent, and production ML engineering skills make cross-industry transfer moderately constrained.
Explicit 4+ years and mandatory LLM, vector DB, cloud, and container/Kubernetes skills enforce strict filters.
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Develop and integrate AI-powered tools, Generative AI, and AI Agent solutions including LLM applications, RAG pipelines, and autonomous workflows to enhance engineering efficiency.
Build and support scalable backend services, APIs, and cloud-native applications on modern cloud platforms.
Monitor and troubleshoot system logs and metrics to improve reliability, performance, and scalability; collaborate on platform capabilities and AI service delivery.
Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field.
4+ years of software engineering experience including production-grade application development and operation.
Proficient programming skills in Python and SQL; experience with LLMs, RAG, AI Agents, MCP servers, Vector databases, and AI orchestration frameworks required.
Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
Experienced in developing and deploying Generative AI and autonomous agent solutions at scale.
Comfortable working with cloud-native infrastructure and modern container orchestration technologies.
Capable of evaluating and adopting emerging AI technologies and integrating them to improve developer productivity and platform capabilities.