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Applied AI Engineer

Monte CarloRemote, AmericasSPEDD (Security, Product, Engineering, Design, Data)
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Salary
$200K - $260K USD
Job type
Full-time
Work mode
Remote
Posted
27 Aug 2026
Status
Open · checked 7d ago

About this role

The Applied AI Engineer position at Monte Carlo is a full-time remote opportunity based in the Americas, ideal for professionals with a strong background in building autonomous AI systems in production. This role involves turning ambiguous challenges into reliable enterprise features that govern agent trust and observability.

Role Overview

Monte Carlo is searching for a skilled engineer to tackle open-ended problems, from initial research and prototyping through to production deployment. Operating within the SPEDD department, the chosen candidate will design agent-powered capabilities, build safety evaluation infrastructure, and set internal technical standards for leveraging large language models. Working closely with engineering and data science teams, this position requires an individual who thrives in ambiguity and prioritizes shipping functional solutions rapidly.

Key Responsibilities

Navigate open-ended problem statements by researching approaches, prototyping experiments, and integrating successful solutions into the main platform.
Design and ship features powered by autonomous agents, including root-cause analysis, monitor generation, and incident triage.
Construct evaluation infrastructure encompassing golden datasets, regression suites, alongside offline and online scoring mechanisms.
Own retrieval and context pipelines utilizing customer metadata, query history, and lineage while monitoring production agent behavior.
Collaborate directly with data science professionals on detection quality and experiment design.
Establish engineering patterns, internal tooling, and guardrails for utilizing large language models across the team.

Requirements

Demonstrated history of building production-grade autonomous agents with real users and internal loops.
Hands-on ownership of agent evaluation frameworks and post-launch monitoring strategies.
Proficiency in Python alongside a solid understanding of machine learning or data science backend concepts.
Minimum of 3 years of professional experience in software engineering, machine learning, or data science within fast-paced environments.
Ability to work effectively from ambiguous problem statements rather than strict technical specifications.
Daily utilization of AI coding and research tools.

Nice to Have

Practical application of statistics and hypothesis testing.
Experience building and maintaining Model Context Protocol (MCP) servers.
Background working within data and cloud environments like Snowflake, Databricks, dbt, and Airflow.

Skills and Tools

Python
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Apache Airflow
Snowflake
dbt

Salary and Benefits

Annual salary range between $200,000 and $260,000 USD.
Equity opportunities.
Fully remote work environment since inception.

About the Company

Monte Carlo is the agent trust platform that unifies data and agent observability to help enterprises monitor, troubleshoot, and improve production artificial intelligence systems. Established in 2019 and backed by prominent investors such as Accel, Redpoint, and Salesforce Ventures, the company helps organizations scale trusted AI operations. Monte Carlo operates with a remote-first culture and celebrates a diverse, equal-opportunity workplace.

How to Apply

Interested candidates should visit the official Monte Carlo careers page to submit an application.

Skills and tech stack

PythonLLMRAGAirflowSnowflakedbt

Questions candidates ask

What is the salary range for the Applied AI Engineer role?

The annual salary for this position ranges from $200,000 to $260,000 USD.

Is this position remote?

Yes, this role is remote-first and open to candidates located in the Americas.

What level of experience is required?

Candidates must have 3 or more years of experience in software engineering, machine learning, or data science, particularly within fast-paced startup or high-growth environments.

What core technical skills are needed?

The position requires strong Python skills, experience with LLMs and RAG, backend understanding, and practical knowledge of agent evaluation frameworks.

How should I apply for this job?

You should apply directly through the official Monte Carlo careers page.

Ready to apply?

The application is on the official Monte Carlo careers page.

Apply on company site