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Mid-level AI role, metro location, broad full-stack+LLM requirements and strong employer brand increase applicant competition.
LLM engineering skills transfer across industries but marketing and brand-voice requirements raise moderate sensitivity.
Explicit 4+ years, mandatory Python/React and hands-on LLM expertise make filters stringent.
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Develop and deploy autonomous agentic AI products using Large Language Models that perform multi-step reasoning and actions across digital systems.
Integrate low-code AI agent workflows with core business systems via custom APIs, data pipelines, and backend services using Python or Node.js.
Build polished, responsive front-end user interfaces with React to make AI-driven workflows accessible and user-friendly for Marketing and Sales teams.
Bachelor’s Degree in Computer Science, Information Technology, or related field.
4+ years of engineering experience with strong full-stack skills in Python, JavaScript/TypeScript, and RESTful API development.
Proven experience in React development for production-ready frontends and UI/UX components.
Hands-on expertise configuring and prompting Large Language Models (e.g., GPT-4o, Claude 3.5, Gemini) and understanding of database retrieval structures.
Experienced in combining low-code AI orchestration platforms with high-quality custom code for building autonomous agents.
Strategic understanding of AI agent frameworks including planning, memory, tool-use, and advanced prompting methods.
Domain knowledge in marketing and sales processes, including marketing automation, SEO, lead scoring, and brand voice compliance for AI-generated content.