Senior Backend Engineer
Quick Summary
prototype fast, pick the architecture, build it, test it, deploy it, and own it after launch.
Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlo.ai
We're hiring a Senior Fullstack Engineer to build the core of our agent trust platform: the backend services, distributed systems, and agentic workflows that let enterprises monitor and trust AI in production. You'll get a problem statement, not a spec, and take it from prototype to architecture to a tested, deployed product. The role is mostly backend, and you'll ship the React surfaces that go with it when the work calls for it.
Responsibilities
~1 min read- →
Take vague problem statements to production: prototype fast, pick the architecture, build it, test it, deploy it, and own it after launch.
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Build and run production-grade backend services and APIs in Python that power Monte Carlo's core platform and agentic systems.
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Design and scale distributed systems that stay reliable, observable, and fast as customer data and agent volume grow.
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Start with simple, flexible designs and evolve them as the product and company scale, without over-building up front.
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Build and maintain data pipelines behind analytics, ML, and customer-facing features.
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Work with product, ML, and infrastructure partners to ship customer value, and build React front ends where they're needed to finish the job.
What We Offer
~1 min readEquality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
All official communication from our recruiting team will come from an @montecarlodata.com email address.
We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.
We will never request payment for equipment, training, or application processing.
Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.
If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at recruiting@montecarlodata.com before sharing any personal information.
Location & Eligibility
Listing Details
- Posted
- September 30, 2026
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 77%
- Scored at
- September 30, 2026
Signal breakdown
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