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Specialized GenAI role in metro market with strong demand but moderate brand and seniority reduces applicant density.
Requires deep LLM, RAG, agent, and enterprise AI architecture expertise, limiting cross-industry transferability.
Explicit 8+ years, 4+ years AI/ML focus, and mandatory LLM, cloud, and framework skills create highly strict filters.
Architect and develop enterprise-grade AI-powered applications using Large Language Models (LLMs) such as Claude and ChatGPT within Microsoft Azure and Databricks.
Lead architectural design including front-end, backend, API, security, and integration strategies to build scalable, secure AI systems.
Drive advanced capabilities including prompt engineering, multi-step agent workflows, AI model performance evaluation, and enforce engineering standards across teams.
Bachelor's degree in Computer Science, Statistics, Mathematics or equivalent; Master’s degree preferred.
8+ years software engineering experience with at least 4 years in AI/ML product development.
Expertise in building enterprise AI solutions using LLMs (OpenAI, Anthropic Claude), Azure, Databricks or similar cloud platforms.
Advanced Python programming skills with API, microservices, and frameworks such as FastAPI, Flask, or Django.
Experienced technical leader capable of making architectural decisions across AI application stacks and mentoring peers.
Deep domain knowledge in enterprise AI systems integrating relational, NoSQL, vector databases, and complex workflows like RAG and agentic designs.
Proven ability to translate complex business requirements into scalable, compliant AI solutions driving measurable business impact.