Senior ML/AI Engineer, Agentic Intelligence
The Role
You'll build and deploy the intelligent systems at the core of Merciv. Our platform doesn't just surface insights — it reasons, forecasts, and acts 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 for the world's largest retailers. This is applied AI at its most impactful. You'll work at the intersection of cutting-edge research and real enterprise deployment, building systems that generate tens of millions in value for clients.
What You'll Do
- 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 RAG systems and LLM integrations that power Merciv's 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
How We're Different
Most AI platforms bolt intelligence onto existing workflows. We're building the intelligence layer from scratch — connecting every data source an enterprise touches and making it actionable in real time. Our agentic infrastructure doesn't just surface insights; it acts on them. That's a harder problem, and it's the one we're solving.
Interview Process
- Application reviewed by a human
- Intro call with our recruiting team
- Technical conversation with an engineering lead
- On-site — meet the team, work through a real problem
Logistics
- On-site in NYC, 3-5 days/week
- Visa sponsorship available