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Strong brand, metro location, mid-level popular GenAI role with broad skillset.
GenAI and machine-learning engineering skills are transferable, but enterprise integration and consulting context raises specificity.
Explicit 3+ years and mandatory GenAI, Python, cloud, and frameworks required.
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Design, develop, and deploy AI-powered applications, prototypes, and production-ready solutions using Generative AI technologies including LLMs, RAG architectures, and AI agents.
Build backend services, APIs, integrations, and user interfaces; integrate foundational AI models from leading AI platforms like Azure OpenAI, OpenAI, Anthropic Claude, etc.
Optimize AI applications for quality, scalability, performance, and cost-efficiency; implement testing, monitoring, and collaborate with cross-functional teams to deliver scalable solutions.
3+ years of experience in AI software engineering and development.
Mandatory skills in Generative AI concepts (LLMs, prompt engineering, RAG architectures, embeddings, vector databases, agentic AI).
Proficiency in Python and experience with API frameworks such as FastAPI or Flask; experience with frontend frameworks like React or Streamlit.
Experience with Cloud platforms (Azure, AWS, or GCP), containerization (Docker), and CI/CD practices.
Education: MBA (Master of Business Administration).
Strong software engineering background with hands-on experience in building AI-powered applications using modern GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex).
Experience working with multiple leading AI platforms integrating foundation models and AI services into enterprise solutions.
Comfortable operating across the AI development lifecycle from prototyping to enterprise-scale production deployments in a collaborative environment.