Merciv Senior MLAI Engineer, Agentic Intelligence

Merciv is building the intelligence layer for enterprise commerce. We connect an organizations entire data landscape internal systems social signals industry reports consumer behavior and surface the insights and automated workflows that used to take analysts weeks.

We raised $14M in seed funding spent two years in stealth building the right thing and were now launching publicly. Our platform already drives 8-figure gross margin improvements for some of the worlds largest retailers.

Were a lean high-ownership team. If you want to see your work matter immediately this is it.

Youll build and deploy the intelligent systems at the core of Merciv. Our platform doesnt just surface insights it reasons forecasts and acts autonomously across complex enterprise data landscapes. Youll develop the models and agentic architectures that power demand forecasting consumer intelligence competitive analysis and autonomous decision-making for the worlds largest retailers.

This is applied AI at its most impactful. Youll work at the intersection of cutting-edge research and real enterprise deployment building systems that generate tens of millions in value for clients.

• 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 Mercivs 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 RAG systems and LLM integrations that power Mercivs 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

• You have 5 years of applied ML/AI experience with models deployed in production

• You have an M.S. or Ph.D. in CS Machine Learning Statistics or equivalent practical experience

• Youre deeply proficient in Python with hands-on experience in PyTorch TensorFlow or scikit-learn

• You have a strong background in statistical analysis predictive modeling and time series forecasting

• Youve worked on agentic AI systems multi-agent orchestration NLP LLMs and RAG architectures

• You care about model interpretability and building systems enterprise users can actually trust

• Former technical founders are encouraged to apply we care more about what youve built than how long youve been building