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Niche GenAI skills narrow pool but metro location and mid-level appeal increase applicant competition.
Core LLM and production ML skills transfer across industries, though domain expertise improves fit.
Requires specific LLM, cloud, and production-deployment capabilities but no explicit years, so moderate strictness.
Identify and define AI use cases and design/develop AI/ML and GenAI-based production-ready solutions (LLMs, RAG, agents).
Build, deploy, and integrate AI applications and automation tools with enterprise systems, APIs, and databases.
Collaborate across teams to ensure scalability, security, reliability, and optimize solutions based on performance metrics and stakeholder feedback.
Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent.
Strong programming skills in Python, JavaScript/TypeScript, or Java.
Hands-on experience with AI/ML technologies including Large Language Models, Retrieval-Augmented Generation, embeddings, and vector databases.
Experience with API-based development, cloud platforms (AWS, Azure, or GCP), and enterprise system integration.
Experienced in designing and deploying production-grade AI solutions with large language models and retrieval-augmented generation techniques.
Operates well in fast-paced, ambiguous, customer-facing environments requiring close collaboration with business stakeholders.
Skilled in system design, technical problem-solving, and translating complex AI capabilities to non-technical stakeholders.