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decircletalentpartner·1 month ago

Merciv - Senior Engineer, Agentic Infrastructure

New York, United States of AmericaOn-siteFull-timeMid · 5+ yearsH1B likely

About this role

Merciv is building the intelligence layer for enterprise commerce. We connect an organization's 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 we're now launching publicly. Our platform already drives 8-figure gross margin improvements for some of the world's largest retailers.
We're a lean, high-ownership team. If you want to see your work matter immediately, this is it.

The Role

You'll build the core systems powering Merciv's agentic infrastructure — the data pipelines, APIs, and distributed services that enterprise clients depend on daily. This isn't a "contribute to a team" role. You own features from architecture to production.
You'll work closely with ML/AI engineers, product, and designers. The problems are hard, the surface area is real, and the impact is visible.

What You'll Do

  • Design and scale backend services in Go and Python powering real-time autonomous intelligence for Fortune 500 clients

  • Architect data ingestion pipelines that handle millions of points across internal and external sources

  • Build APIs that serve our agentic AI platform at enterprise scale

  • Collaborate with ML/AI engineers to ship predictive models into production

  • Own system reliability — fault tolerance, observability, performance under load

  • Shape architectural decisions that define the long-term trajectory of the platform

  • Mentor engineers and raise the bar for backend engineering as we grow

  • You have 5+ years of backend engineering experience building systems at scale

  • You're deeply proficient in Go and/or Python, with strong distributed systems fundamentals

  • You've worked with both SQL and NoSQL databases and know how to process data at scale

  • You've run production systems on Kubernetes

  • You think in systems — you can design for performance, scalability, and maintainability at once

  • You thrive on ambiguity and hard problems, not just well-scoped tickets

  • Former technical founders are encouraged to apply — we care more about what you've built than how long you've been building