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Tier-1 employer, mid-level GenAI role, metro location, and broad technical requirements attract many applicants.
Highly specialized GenAI engineering and platform experience reduce easy cross-industry transferability.
Explicit 3+ years plus mandatory GenAI frameworks, Python, API, and cloud skills enforce strict filters.
Design, develop, and deploy AI-powered applications and solutions using GenAI technologies including LLMs, RAG architectures, and AI agents.
Build backend services, APIs, user interfaces, and integrate foundation models from leading AI platforms such as Azure OpenAI, OpenAI, Anthropic, and others.
Optimize AI applications for scalability, performance, and cost efficiency while collaborating with architects and engineers and contributing to reusable frameworks.
3+ years of professional experience.
Mandatory skills in Generative AI technologies including LLMs, prompt engineering, RAG architectures, embeddings, vector databases, and agentic AI.
Strong proficiency in Python and experience with API frameworks like FastAPI or Flask and frontend technologies such as React, Next.js, or Streamlit.
Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker). MBA degree required.
Experienced engineer with hands-on expertise in building enterprise-scale AI solutions using modern GenAI frameworks and tools.
Capable of rapidly prototyping and deploying production-grade AI applications while ensuring integration with enterprise systems.
Ability to optimize AI application quality, performance, and scalability with an engineering mindset focused on best practices and reusable components.