Senior ML/AI Engineer, Agentic Intelligence

About Merciv

Merciv is an AI and data analytics startup dedicated to reshaping how businesses approach strategic intelligence. Our mission is to transform how organizations harness data, generate insights, and drive strategic decisions through cutting-edge AI pipelines and dynamic forecasting mechanisms.

We're building toward a world where every business decision is informed by the right data at the right time, combining AI capability with human judgement. Our technology:

• Connects disparate data sources into a single, coherent intelligence layer

• Augments human decision-making with autonomous AI analysis

• Surfaces insights and opportunities that traditional tools miss

• Forecasts outcomes and helps teams navigate uncertainty with real clarity

• Gives organizations the ability to shape their markets, not just react to them

We're building solutions that are robust and scalable but also genuinely intuitive, so that teams across an organization can actually use them, not just the data team. We've raised $14M in seed funding, built our team around a strong engineering culture, and are launching publicly after nearly two years in stealth mode.

About the Team

We're building an agentic AI platform that's changing how enterprises work with data. Merciv connects an organization's entire data landscape with external sources - social media trends, industry reports, consumer behavior signals - to surface insights and automate workflows that used to take analysts weeks.

We care a lot about making powerful tools feel simple. Every feature should be intuitive, every component interactive. We want users to open Merciv and immediately feel like they can do more than they could before.

Our lean, agile team thrives on innovation and autonomy. We're small enough that everyone has real ownership. We use a DRI (Directly Responsible Individual) model - you'll own major product features from conception to launch, not just contribute to them. You'll wear multiple hats, and that's by design.

Our work environment thrives on creativity and cutting-edge technology, built for those eager to shape the future of human-AI collaboration. If you’re excited about being a part of a fast-paced, innovative startup culture and making a significant impact on client business, Merciv is the place for you. Join us as we expand the horizons of retail intelligence and deliver unparalleled value to our clients.

The Role

As a Senior ML/AI Engineer, 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 our 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 our platform

Who You Are

• 5+ years of experience in applied machine learning and AI, with models deployed in production environments

• M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a 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

• You care about model interpretability, explainability, and building systems that enterprise users can trust

• You thrive in fast-paced environments and are excited about pushing AI from research into production

Bonus

• 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

Why Merciv

• Real enterprise impact: our platform drives 8-figure improvements in gross margins for the world’s largest retailers

• Cutting-edge technical challenges at the intersection of agentic AI, distributed systems, and enterprise data orchestration

• Small team, massive surface area. You’ll own major features from conception to production

• Competitive salary, meaningful equity, and comprehensive benefits (health, dental, vision, 401k, home office stipend, flexible PTO)

• A culture that values craft, intellectual honesty, and genuine human connection

Merciv is building the future of autonomous commerce. We're committed to assembling a diverse team of builders who want to revolutionize how the world does business.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.