Principal Software Engineer In Test

Invisible Technologies makes AI work.

Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI.

It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the **** Inc. ****.

In September ****, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role
We are seeking a highly experienced Principal Engineer – Testing to join our dynamic engineering team.

The ideal candidate will bring deep expertise in quality engineering, automation, and test strategy for complex, distributed systems.

As part of the core team building our AI platform, you'll design and lead the testing architecture for autonomous workflows, intelligent agents, and high-reliability infrastructure.

What You'll Do

Design, implement, and own the testing architecture across the AI platform, spanning backend, APIs, data pipelines, and AI models

Build and scale automation frameworks to support unit, integration, regression, performance, and AI-specific testing

Develop test strategies that balance reliability, speed, and coverage for complex, dynamic, and data-heavy systems

Create simulation and sandbox environments to test AI workflows and orchestration logic

Integrate automated testing into CI/CD pipelines, enabling confident, rapid deployments with safety guarantees

Lead root cause analysis and implement practices that prevent regressions across systems and features

Champion a quality-balanced culture and mentor engineers in best practices for building robust, testable systems

What We Need

10+ years of experience in software quality engineering, test automation, or systems testing roles

Expertise in test automation frameworks (e.g., Pytest, Playwright, etc.) and infrastructure-as-code pipelines

Experience designing and validating tests in distributed, event-driven, and microservices architectures

Familiarity with testing in AI/ML systems, including model output validation and behavior-driven testing.

Experience with containerized environments (Docker), and cloud platforms (AWS/GCP/Azure)

Strong understanding of CI/CD systems (particularly Git,) and modern observability tooling (e.g., Grafana, Prometheus)

Excellent problem-solving, debugging, and documentation skills

A track record of technical leadership and mentoring in cross-functional environments

Nice to have

Experience testing large-scale AI frameworks, LLM integrations, or decision systems

Exposure to tools like dbt, Spark, or DataDog

Contributions to open-source testing tools or quality initiatives

Deep curiosity about LLM behavior, autonomous systems, and human-in-the-loop testing strategies

A desire to develop the most consequential AI software system of the future

What's In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings.

Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

You can find more information about our geographic pay tiers here.

During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location.

For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

Bonuses and equity are included in offers above entry level.

Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.

Because of this, every offer is unique.

Additional details on total compensation and benefits will be discussed during the hiring process.

What It's Like To Work At Invisible
At Invisible, we're not just redefining work—we're reinventing it.

We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale.

Ownership is at the core of everything we do.

Here, you won't just execute tasks—you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity.

The pace is fast, the challenges are big, and the growth is unmatched.

We're not for everyone, and we're okay with that.

If you're looking for predictable routines, this isn't the place for you.

But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in.

Country Hiring Guidelines
Invisible is a hybrid organization with offices and team members located around the world.

While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations.

Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

AI Interviewing Guidelines
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process.

Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey.

Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement
We're committed to providing reasonable accommodations for individuals with disabilities.

If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at ******.

Equal Opportunity Statement
We're an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information.

Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria.

If you object to our use of automated decision-making please contact us.