Senior ML/AI Engineer

About Merciv Merciv is an applied AI and data analytics company building the intelligence layer for enterprise decision-making. The platform connects an organization's entire data landscape — internal systems, social media trends, industry reports, consumer behavior signals — into a single coherent intelligence layer that surfaces insights and automates workflows that used to take analysts weeks. The platform drives 8-figure improvements in gross margins for Fortune 500 retailers. Founded by a technical team with deep innovation and graph database backgrounds. Raised $14M in seed funding. Zero attrition — no one has left the company. About the Role As a Senior ML/AI Engineer, you'll build and deploy the intelligent systems at the core of Merciv's platform. This is applied AI at its most impactful — not research for the sake of papers, but production systems that reason, forecast, and act autonomously across complex enterprise data landscapes. You'll develop the models and agentic architectures that power demand forecasting, consumer intelligence, competitive analysis, and autonomous decision-making. Key Responsibilities - Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale - Develop and iterate on Merciv's agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action - Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment - Architect and improve the production graph RAG system — a core technical differentiator - Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows - Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale - Own model performance end-to-end: monitoring, retraining, and continuous improvement in production - Stay at the frontier of AI research and bring relevant innovations into the platform Bonus Skills - Experience with graph databases or graph RAG systems (major plus — core to Merciv's stack) - Background in retail, supply chain, or demand forecasting domains - Experience with graph neural networks or knowledge graphs - Familiarity with MLOps platforms and model serving infrastructure - Contributions to open-source ML/AI projects or published research Benefits - Health, dental, vision, 401k - Home office stipend, flexible PTO - Ground-floor equity at a well-funded seed-stage company Requirements Requirements - 5+ years of experience in applied machine learning and AI, with models deployed and running in production environments - M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related field (or equivalent practical experience) - Deep proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, scikit-learn) - Strong background in statistical analysis, predictive modeling, and time series forecasting - Experience with applied agentic AI/ML systems and multi-agent orchestration - Experience with NLP, LLMs, and RAG architectures - Comfortable working with large-scale datasets and distributed computing environments