Staff Backend Engineer

About Invisible

Invisible Technologies is the AI operating system for the enterprise. Our end-to-end AI Software Platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates/measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world’s leading AI model providers, including Cohere, Microsoft, and AWS, and we have the expertise to customize AI for any industry, function, or use case.

Invisible makes AI work in the real world. In 2024, we reached $134M in revenue and were named the #2 fastest growing AI company on the Inc. 5000.

About The Role

We are seeking a Staff Backend Engineer with prior AI/ML experience, specifically with recent hands-on experience leveraging generative AI to build Production-ready applications. As a Staff Engineer at Invisible, you will act as a technical lead for a product area or scrum team, shaping technical architecture and guiding engineering execution.

You will work across a modern backend stack (Python, Django, Postgres, GCP, Docker/Kubernetes) and leverage GenAI frameworks (OpenAI or others) to build high-impact internal and customer-facing tools.

What You’ll Do

• Lead the technical design and development of scalable backend systems for AI-powered applications.
• Architect, build, and optimize APIs and workflow systems, including GraphQL subscriptions and event-driven architectures.
• Leverage GenAI frameworks to design and deploy intelligent tools and features.
• Collaborate cross-functionally with product managers, operations, and AI teams to deliver reliable, scalable systems.
• Ensure best practices in modular architecture, security, observability, and operational excellence.
• Act as a mentor within the engineering team, supporting best practices and technical growth.

What We Need

• Extensive Python programming experience.
• Recent experience building tools and applications using GenAI frameworks (OpenAI or others), either in professional roles or advanced side projects.
• Experience with cloud platforms (GCP preferred).
• Deep expertise in container technologies (Docker, Kubernetes).
• Mastery of workflow systems, event-driven architectures, and API development.
• Proficiency in modular software architecture and best practices for scalable system design.
• Experience designing and managing enterprise software systems with a focus on security, observability, and operations.
• Extensive use of version control systems, particularly Git.
• Strong documentation skills for design specifications and implementation details.
• Excellent communication skills, ability to clearly convey complex technical concepts to both technical and non-technical stakeholders.
• Experience with Django, Postgres, Doppler, Backstage, and observability tools like Datadog, Sentry are a big plus.

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.

For this position, the annual salary ranges by location are:

An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.

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 accommodation@invisible.email. 

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.