Senior ML/AI Engineer

Merciv • New York, NY

3d

About The Position

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.

As a Senior Backend Engineer, you’ll design and build the core systems that power Merciv’s agentic infrastructure. You’ll architect services that process massive volumes of enterprise data in real-time, build the pipelines that feed our AI engines, and ensure our platform scales reliably for Fortune 500 clients who depend on it daily.
This is a DRI (Directly Responsible Individual) role. You’ll own major platform features from architecture to deployment, working closely with ML engineers, product, and our enterprise customers.

Requirements

• 5+ years of professional backend engineering experience, with meaningful time spent building systems at enterprise scale
• Deep proficiency in Go and/or Python, with strong fundamentals in distributed systems and microservices architecture
• Experience with both SQL and NoSQL databases; comfortable with data processing at scale
• Experience with Kubernetes and container orchestration experience.
• Strong understanding of system design principles (you can architect solutions that balance performance, scalability, and maintainability)
• Passionate about clean, well-tested, maintainable code
• You thrive in fast-paced environments and are energized by hard, ambiguous problems

Nice To Haves

• Experience with graph and/or vector databases
• Familiarity with RAG architectures and the broader GenAI landscape
• Experience with real-time data processing and streaming technologies
• Understanding of ML/AI concepts, particularly in forecasting and NLP

Responsibilities

• Design, build, and scale backend services using Go and Python that power autonomous retail intelligence for enterprise clients
• Architect data ingestion and processing pipelines that handle millions of data points across internal and external sources
• Build and maintain APIs that serve our agentic AI platform, supporting real-time decision-making at enterprise scale
• Collaborate with ML/AI engineers to integrate predictive and prescriptive models into production workflows
• Own system reliability (design for fault tolerance, observability, and performance under high-throughput conditions)
• Contribute to architectural decisions that shape the long-term trajectory of our platform
• Mentor junior engineers and establish backend engineering best practices as we scale

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed