AI Engineer SR (CHR/AI-20250812)

<p><span style="font-size: 11pt;">We’re looking for a </span><b style="font-size: 11pt;">Senior AI Engineer</b><span style="font-size: 11pt;"> — a hands-on technical leader with deep expertise in AI/ML, large-scale data engineering, and modern GenAI workflows.&nbsp;You thrive in high-autonomy, fast-moving environments, combining strong research skills with the ability to ship production-ready systems.&nbsp;This is a </span><b style="font-size: 11pt;">high-ownership role</b><span style="font-size: 11pt;"> for someone who pairs technical excellence with a product mindset, mentors others, and solves complex problems in real time.</span></p>\n<p></p><p><br></p><b>Key Responsibilities</b><ul><li><b>1. Lead AI Research &amp; Model Development</b></li><li>Lead AI research and development, designing and implementing state-of-the-art machine learning and deep learning models.</li><li>Develop cutting-edge AI algorithms for NLP, computer vision, generative AI, and bias detection.</li><li>Optimize deep learning architectures (transformers, CNNs, RNNs, diffusion models) for accuracy, efficiency, and cost-effective inference.</li><li>Apply advanced mathematical concepts (linear algebra, probability, discrete mathematics, statistics, optimization) to AI model development.</li><li><b>2. Build &amp; Deploy GenAI Solutions</b></li><li>Build and deploy Python-based GenAI solutions for analyzing and improving ad content.</li><li>Work with large-scale, complex datasets — from acquisition to preprocessing, feature engineering, and augmentation — to enable high-quality model training and evaluation.</li><li>Design and implement LLM-based pipelines using tools like LangChain, LlamaIndex, and OpenAI APIs.</li><li>Own development of RAG systems, vector search, and prompt workflows.</li><li><b>3. Production-Ready AI Systems</b></li><li>Build robust APIs to integrate AI models into production systems (FastAPI, Flask, Django).</li><li>Design scalable AI solutions with MLOps best practices for production-ready deployment.</li><li>Move fast: ship features, not just prototypes.</li></ul><p><br></p><b>Required Skills &amp; Experience</b><ul><li><b>1. Core AI/ML Expertise</b></li><li>5+ years of experience in Python and AI/ML engineering.</li><li>Strong understanding of LLM-based workflows, embeddings, prompt engineering, and RAG.</li><li>Experience with modern GenAI frameworks (e.g., LangChain, LlamaIndex).</li><li>Experience working with large-scale datasets, preprocessing, feature engineering, and augmentation.</li><li>Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).</li><li>2. <b>Software Engineering &amp; Deployment</b></li><li>Ability to build and deploy APIs using FastAPI, Flask, or equivalent.</li><li>Solid software engineering habits: clean code, version control, CI/CD.</li><li>Cloud computing expertise (AWS, GCP, Azure) for scalable AI deployments.</li><li>Experience with LLM cost optimization and open-source model deployment.</li><li>3. <b>Leadership &amp; Collaboration</b></li><li>Mentoring and guiding AI engineers, fostering a research-driven development culture.</li></ul><p><br></p><b>Why Join us?</b><ul><li>Work on large-scale AI projects with real-world impact&nbsp;</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