Merciv
Senior ML/AI Engineer, Agentic Intelligence
$160K–$230K
New York City · On-site · Senior · Full-time · Posted Mar 2, 2026
- Experience
- 5+ years of applied ML/AI experience; former technical founders are encouraged to apply, and the posting says it values what candidates have built over how long they have been building.
- Education
- M.S. or Ph.D. in CS, Machine Learning, Statistics, or equivalent practical experience.
- Visa sponsorship
- Visa sponsorship available
About the job
Build and deploy machine-learning models and agentic AI systems that analyze enterprise data, generate forecasts and insights, and support autonomous retail workflows.
What you'll do
- Build and deploy ML models for forecasting, sentiment analysis, and anomaly detection, and maintain production ML pipelines.
- Develop agentic AI architectures, RAG systems, and LLM integrations for natural-language interfaces and autonomous workflows.
- Monitor and improve model performance in production, working with backend engineers on latency, reliability, and scale.
What they ask for
- 5+ years of applied ML/AI experience with models deployed in production.
- M.S. or Ph.D. in CS, Machine Learning, Statistics, or equivalent practical experience.
- Deep proficiency in Python and hands-on experience with PyTorch, TensorFlow, or scikit-learn.
- Strong background in statistical analysis, predictive modeling, and time series forecasting.
Nice to have
- Experience with agentic AI systems, multi-agent orchestration, NLP, LLMs, or RAG architectures.
- Retail, supply chain, or demand forecasting background; graph neural networks, knowledge graphs, MLOps, or research contributions are also bonuses.
Pay
$160K – $230K USD base salary
Tools
Python, PyTorch, TensorFlow, scikit-learn, RAG, LLMs
AI focus
Develop applied ML models and agentic AI systems for forecasting, consumer intelligence, competitive analysis, and autonomous enterprise decision-making.
Model-written summary · the original posting is authoritative