Invisible Technologies Inc. Defunct
Principal Software Engineer
Invisible Technologies Inc. Defunct, Buffalo, New York, United States, 14266
Overview
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Principal Software Engineer
role at
Invisible Technologies 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 worlds 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. What Youll Do
As part of the Forward Deployed Engineering team, youll contribute during a phase of rapid growth as we focus on scaling models and improving platform performance. Youll help build backend systems, support client-facing deployments, and enable smoother workflows for machine learning solutions. Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms Client Engagement: Collaborate directly with Invisibles clients, working embedded with client teams to support use case discovery, product development, and AI deployment. Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows What We Need
5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production. Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads. Prior experience working directly with clients in use case discovery, product development, and leading client engagements Technical Expertise: Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development. Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications. Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads. Familiarity with Kubernetes and other container management tools. Ability to write well-structured, organized code and automated unit/E2E tests. Comfortable with polyglot persistence models (SQL vs. NoSQL). ML Operations: Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management. Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges Communication: Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers. Whats 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: Tier 1 $243,000 - $286,000 USD 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, were not just redefining workwere reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of whats possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you wont just execute tasksyoull 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. Were not for everyone, and were okay with that. If youre looking for predictable routines, this isnt the place for you. But if youre driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, youll 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. Accessibility Statement
Were 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
Were 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development
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Join to apply for the
Principal Software Engineer
role at
Invisible Technologies 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 worlds 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. What Youll Do
As part of the Forward Deployed Engineering team, youll contribute during a phase of rapid growth as we focus on scaling models and improving platform performance. Youll help build backend systems, support client-facing deployments, and enable smoother workflows for machine learning solutions. Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms Client Engagement: Collaborate directly with Invisibles clients, working embedded with client teams to support use case discovery, product development, and AI deployment. Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows What We Need
5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production. Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads. Prior experience working directly with clients in use case discovery, product development, and leading client engagements Technical Expertise: Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development. Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications. Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads. Familiarity with Kubernetes and other container management tools. Ability to write well-structured, organized code and automated unit/E2E tests. Comfortable with polyglot persistence models (SQL vs. NoSQL). ML Operations: Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management. Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges Communication: Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers. Whats 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: Tier 1 $243,000 - $286,000 USD 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, were not just redefining workwere reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of whats possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you wont just execute tasksyoull 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. Were not for everyone, and were okay with that. If youre looking for predictable routines, this isnt the place for you. But if youre driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, youll 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. Accessibility Statement
Were 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
Were 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development
#J-18808-Ljbffr