AI Engineer (CHR/AI-20250812)
Posted 2025-08-23
Remote, USA
Full Time
Immediate Start
<p><span style="font-size: 11pt;">We’re looking for an </span><b style="font-size: 11pt;">AI Engineer</b><span style="font-size: 11pt;"> to help design, build, and deploy GenAI solutions that power our platform. This is a hands-on role for an engineer who enjoys working with modern LLM workflows, creating efficient pipelines, and shipping production-ready features quickly.</span></p>\n<p></p><p><br></p><b>Key Responsibilities</b><ul><li>Build and deploy <b>Python-based GenAI solutions</b> for analyzing and improving ad content </li><li>Design and implement <b>LLM-based pipelines</b> using tools like <b>LangChain</b>, <b>LlamaIndex</b>, and <b>OpenAI APIs</b></li><li>Own development of <b>RAG systems</b>, vector search, and prompt workflows</li><li>Optimize for <b>low-cost, high-reliability inference</b> (cloud and open-source LLMs)</li><li>Build <b>robust APIs</b> to integrate AI models into production systems</li><li>Move fast: <b>ship features, not just prototypes</b></li></ul><p><br></p><b>Required Skills & Experience</b><ul><li>5+ years of experience in <b>Python</b> and <b>AI/ML engineering</b></li><li>Strong understanding of <b>LLM-based workflows</b>, embeddings, prompt engineering, and RAG</li><li>Experience with a modern GenAI framework: <b>LangChain, LlamaIndex</b>, etc.</li><li>Ability to build and deploy APIs using <b>FastAPI</b>, <b>Flask</b>, or equivalent</li><li>Familiarity with <b>vector databases</b> (e.g. FAISS, Pinecone, Weaviate)</li><li>Solid software engineering habits: clean code, version control, CI/CD</li><li>Bonus: experience working with <b>cloud platforms</b> (AWS, GCP, Azure) and <b>LLM cost optimization</b></li></ul><p><br></p><b>Why Join us?</b><ul><li>Work on large-scale AI projects with real-world impact </li><li>High autonomy, high-impact role on a lean, ambitious team</li><li>Shape both the product and technical foundation of AI systems</li><li>Fully remote work with flexibility</li><li>Competitive compensation and opportunities for career growth.</li><li>Continuous learning, experimentation, and exposure to cutting-edge AI tools</li></ul><p><br></p><p></p>\n