AI Operations Engineer (Internal Agents & Workflow Automation) (Remote, US)

· Remote

Location

Remote

Type

Full Time

Job Description

AI Operations Engineer (Internal Agents & Workflow Automation) (Remote US)

Posted 12 Hours Ago
Hiring Remotely in United States
Remote
Mid level
Information Technology • Productivity • Professional Services • Software • Business Intelligence
M-Files delivers a context-first document management platform that connects documents to the work they support.
The Role
As an AI Operations Engineer you will identify AI opportunities build internal AI solutions maintain operations and ensure compliance working closely with business leaders and IT.
Summary Generated by Built In

APPLICATION WINDOW: We encourage you to apply if interested. We will review applications on a rolling basis and keep candidates informed on next steps.

We recognize that job searching can sometimes feel uncertain. As we engage with candidates and continue to evaluate our needs this role may evolve to ensure strong alignment between the opportunity the market and long-term success.

We are committed to a thoughtful and transparent process and will keep candidates informed along the way. Thank you for considering M-Files as your next career move.

Who We Are

M-Files is redefining how work gets done. Our context-first document management system offers purpose-built business use cases—spanning universal and industry-specific workflows—to enable secure collaboration automate processes and ensure governance.

Unlike traditional systems M-Files organizes content around the context of your business connecting documents to related people projects and transactions. With our unique metadata-driven architecture organizations can model content in line with their business processes unify information across silos and apply AI at scale. The result is greater productivity reduced risk and smarter faster decisions for over 6000 customers in 100+ countries.

At M-Files our Guiding Principles unite us across diverse cultures and personalities:

1.       Make It Happen – We set bold goals take ownership learn from mistakes and relentlessly pursue results.

2.       Help Others – We lead with kindness assume good intentions hold one another accountable and celebrate wins together.

3.       Love Customers – We put customers and partners at the heart of everything delivering value with respect fairness and speed.

To learn more about us we encourage you to visit our company page.

To learn more about how we became a Certified Great Place to Work visit Working at M-Files | Great Place to Work.

Summary of the Role

M-Files is building a company-wide capability to operationalize AI—turning promising LLM prototypes into secure reliable maintainable internal tools that materially improve how teams work. This role sits in Strategic Operations and functions as a hands-on builder: you will partner with business leaders to identify high-value workflows that can be accelerated with AI help reshape the underlying processes and then build deploy and run the AI-enabled solutions end-to-end.

This is not a traditional product software engineer role. Instead it is an execution-oriented engineering role embedded in the business: you’ll move quickly from problem definition to production while applying the right risk controls oversight security and compliance expectations required for internal systems at scale.

You will leverage AI-assisted development tools as part of your daily workflow to accelerate delivery while maintaining quality.

What You Will Be Doing / Responsibilities and Duties

Discover & shape high-value AI opportunities (internal process focus)

  • Partner with functional leaders to identify workflows where AI can remove friction reduce cycle time improve accuracy or strengthen compliance.
  • Map the current state process identify bottlenecks and failure modes and re-design the process to be automation-ready (clarify inputs/outputs decision points data sources controls and ownership).
  • Define success metrics (time saved error reduction throughput adoption auditability) and translate business goals into a build plan.

Build internal AI agents and automation tools (end-to-end ownership)

  • Design and implement internal agents using modern LLM patterns (tool use/function calling retrieval-augmented generation where needed structured outputs and human-in-the-loop checkpoints).
  • Build whole-product solutions: lightweight UX service/API layer integrations data access and automation triggers—appropriate to the use case.
  • Use AI-assisted development techniques to speed delivery while sustaining maintainability and readability.

Operate mantain and scale (production mindset)

  • Own reliability: monitoring alerting logging incident response and continuous improvements.
  • Establish repeatable patterns for onboarding new workflows and scaling existing ones (templates shared components evaluation harnesses documentation).
  • Create and maintain runbooks and lightweight training so internal teams can adopt solutions confidently.

Risk control oversight security & compliance by design

  • Implement appropriate guardrails: data minimization access controls secrets management safe prompt/tooling patterns output validation and traceability.
  • Ensure solutions meet internal security and compliance expectations (including audit readiness change management discipline and clear ownership).
  • Maintain clear documentation of how systems work what data they touch and how risks are mitigated.

Cross-functional coordination

  • Coordinate across IT/Security Legal/Privacy and functional SMEs to get solutions approved and adopted.
  • Communicate progress with crisp updates; manage tradeoffs between speed and rigor.

Outcomes to be achieved

  • A portfolio of high-impact internal AI agents deployed into real workflows (not demos) with measurable business outcomes.
  • A scalable operating model for internal AI: reusable components clear governance and a predictable path from idea → production.
  • Reduced process friction through AI + process redesign not AI bolted onto broken workflows.
  • High trust in outputs through appropriate controls auditability and operational reliability.

Working style / What success looks like here  

  • You are low ego high output: you can operate independently but you collaborate naturally and bring others along.
  • You can move fast without being reckless: you know where to be scrappy and where to add rigor.
  • You care about outcomes: automation only matters if it changes how people work.

Requirements

Qualifications

  • Demonstrated ability to build and maintain end-to-end software (design → build → deploy → operate) with strong engineering fundamentals.
  • Proficiency in at least one modern programming language (e.g. Python TypeScript C# Node.js) and comfort learning what’s needed.
  • Practical experience integrating systems via APIs authentication and structured data formats.
  • Strong ability to work with non-technical stakeholders: translate ambiguous problems into clear specs iterate quickly and drive adoption.

Technical foundations we value (examples)

  • Experience building cloud-based services and the surrounding engineering hygiene (CI/CD source control test automation and operational monitoring).
  • Comfort with secure and scalable platform concepts (networking identity secrets infrastructure automation).
  • Experience or strong interest in AI-assisted development as part of daily engineering practice.

LLMs/agent capabilities (expected for this role)  

  • Hands-on experience building LLM-powered tools/agents (prompting tool use retrieval where appropriate and evaluation/quality approaches).
  • Ability to design safe and predictable AI systems (validation fallbacks human-in-the-loop and clear failure handling).

Preferred

  • Familiarity with enterprise security/compliance expectations (access controls audit trails change management data governance).
  • Experience modernizing processes (Lean/ops mindset) and designing systems that align to how teams actually work.
  • Experience building internal tools that drive adoption across multiple functions.

Participation in our Recruitment Process: To Be Determined. Typical interview processes including initial screening w/ a Recruiter meeting with Hiring Manager (SVP Strategic Operations & Corporate Development) and other internal team members the role may closely interact with.

*Estimated total candidate time investment: Approx. 3hrs


Benefits

Why M-Files?

M-Files is a global company with Finnish roots built around a product we are proud of.

You’ll have the opportunity to contribute to our continued growth while developing your own expertise in a collaborative supportive environment.

Our guiding principles Make It Happen Help Others Love Customers are reflected in how we work every day with transparency and strong team spirit at the core of our culture.

What We Offer:

  • As remote enabled company our employees enjoy the flexibility to establish their own life/work balance
  • Matching 401K Plan (25% of employee's contribution up to the IRS max)
  • Health insurance (PPO and HDHP/HSA plans offered)
  • Dental insurance
  • Vision insurance
  • Life insurance (1x employee salary)
  • Short-term disability (employer paid)
  • Long-term disability (employer paid)
  • Flexible Spending Plan (medical and dependent)

Top Skills

APIs
C#
Ci/Cd
Node.js
Python
Typescript

What the Team is Saying

Justin
Ari
Crystal
Helina
Patricia
Patti
Dave
Arlene
Frank
Ramez
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The Company
HQ: Austin TX
500 Employees
Year Founded: 2002

What We Do

M-Files is redefining how work gets done. Our context-first document management system offers purpose-built business use cases—spanning universal and industry-specific workflows—to enable secure collaboration automate processes and ensure governance. Unlike traditional systems M-Files organizes content around the context of your business connecting documents to related people projects and transactions. With our unique metadata-driven architecture organizations can model content in line with their business processes unify information across silos and apply AI at scale. The result is greater productivity reduced risk and smarter faster decisions for over 6000 customers in 100+ countries.

Why Work With Us

We’re a global company with Finnish roots and a product we’re truly proud of. At M-Files you’ll help shape our growth while developing your own expertise alongside a fun collaborative team building solutions that are transforming the market.

Gallery

M-Files Offices

Remote Workspace

Employees work remotely.

Our U.S.-based roles are fully remote giving M-Filers the freedom to work from wherever they feel most focused creative and balanced.

Typical time on-site: None
HQAustin TX
HQTampere FI
Bengaluru IN
Fredericton New Brunswick
Helsinki FI
Lappeenranta FI
Oslo NO
Reims FR
Stockholm SE
Learn more

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Date Posted

04/07/2026

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