--- title: 'Staff Software Engineer, Applied AI (Forward Deployed) at Invisible Technologies' canonical: 'https://feeny.ai/job/staff-software-engineer-applied-ai-forward-deployed-invisible-technologies-new-fepd4r88xpam' type: 'job' last_seen: '2026-09-10' --- # Staff Software Engineer, Applied AI (Forward Deployed) at Invisible Technologies - **Company:** Invisible Technologies - **Location:** New York, NY - **Work type:** hybrid - **Posted:** 2026-03-27 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.eu.greenhouse.io/invisibletech/jobs/4822706101 ## Job description ## About Invisible 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 2024 Inc. 5000. In September 2025, 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 skilled and driven Software Engineer with a strong background in full-stack development, particularly in backend technologies and Agentic AI, to join our AI/ML team. In this role, you’ll work at the intersection of engineering, data science, and real-world impact, partnering directly with clients and internal stakeholders to design and deploy ML-powered tools that solve meaningful problems. This role combines hands-on model development with robust backend engineering and infrastructure work. You’ll help build scalable systems, support R&D initiatives, and ensure rapid iteration and deployment of machine learning solutions in dynamic, production-ready environments. You will work embedded with our top clients and the client teams to conduct use case discovery with senior stakeholders directly, developing solutions that address complex client needs. This will require being onsite with clients 3-4 days a week on a regular basis in New York. ## What You’ll Do - As part of the Forward Deployed Engineering team, you’ll contribute during a phase of rapid growth as we focus on scaling models and improving platform performance. You’ll 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 Invisible’s  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 - 8+ 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. 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 range is: $209,000 - $300,000 You can find more information about our geographic pay tiers [here](https://invisibletech.ai/compensation-and-pay-tiers). 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 all full-time offers. 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.](https://www.invisible.co/ai-interview-guidelines) Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557 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. ## About Invisible Technologies ## Company Overview - **One-liner**: Invisible Technologies provides an AI orchestration platform that cleans, labels, and structures enterprise data, deploys governed AI agents, and integrates vetted human expertise to make AI work reliably at scale. - **Entity Type**: Private (Series A — latest $100M round closed September 2025) - **Headquarters**: New York, NY, USA (7 West 18th Street, Floor 3) - **Founded**: 2015 - **Founders**: Not publicly disclosed on their website or in major profiles (founder names absent from available sources) ## Core Business - Primary industry: Enterprise AI Infrastructure & Software Development - Target customers: B2B / Enterprise (serves asset management, banking, consumer goods, insurance, public sector, sports, supply chain) - Mission/purpose: "Make operations behave like systems. Recursive. Reliable. Quietly compounding." — focused on redesigning the unseen infrastructure of enterprise workflows. ## Products & Services - **Atomic**: A visual process orchestration layer that connects all moving parts of an operation into one coherent flow — maps work visually, automates steps, routes tasks to the right AI or person, enforces quality, and feeds results back into existing systems. - **Neuron**: A data platform that pulls messy, multi-source data into a governed, machine-ready state; auto-cleans and organizes data and builds a living map of business entities (orders, inventory, customers, processes). - **Synapse**: An evaluation engine for rigorous quality, safety, and accuracy testing of AI outputs; runs automated checks against custom criteria, provides side-by-side model comparison, and tracks passing/failing per use case (not static benchmarks). - **Axon**: AI agents that can think through complex, multi-step work, use tools, write code, and hand off finished results to enterprise systems; each workflow is versioned, trackable, and customer-separated for safe testing and promotion. - **Meridial**: A global expert network of over 24,000 vetted domain specialists deployed on-demand for training data labeling, AI stress-testing, edge-case handling, and human-in-the-loop support. ## Market Standing - **Valuation**: Not disclosed (private company) - **Key Metric**: Reached $134 million in revenue in 2024 (profitability for over half a decade per LinkedIn); ranked #2 fastest-growing AI company in 2024. - **Total Funding**: $107.9M across 6 rounds (latest: $100M venture round in September 2025, plus a follow-on round in April 2026 with 1 investor) - **Notable Investors/Partners**: Not individually named in available sources, but they have trained models for Microsoft, AWS, and Cohere, and deployed for Swiss Gear, SAIC, and the Charlotte Hornets. - **Growth Signals**: Headcount grew 58.3% YoY to 3,583 employees; operates in 108 countries; revenue jumped to $134M in 2024; acquired WeCP (We Create Problems); 10 active job postings with 25% monthly job posting growth. ## Competitive Advantages - **Full-stack AI infrastructure**: A modular platform covering data preparation (Neuron), process orchestration (Atomic), evaluation (Synapse), autonomous agents (Axon), and human expertise (Meridial) — all in one integrated system. - **Proven track record**: Has trained over 80% of the world's leading AI models, citing work with Microsoft, AWS, and Cohere. - **Human-in-the-loop moat**: The Meridial network of 24,000+ vetted domain experts provides a flexible human layer that competitors cannot easily replicate, enabling high-quality, domain-specific AI training and safe AI deployment. - **Profitability + high growth**: Profitable for over half a decade while achieving 58%+ headcount growth and $134M revenue — rare in AI infrastructure. - **Workflow-first approach**: Platform is designed to integrate with existing enterprise stacks (not rip-and-replace), reducing process complexity by 70%+ on average. ## Strategic Focus - Deepening enterprise automation in back-office, compliance, engineering review, and supply chain workflows. - Scaling the Meridial expert network globally to cover more languages and domains. - Building governed, auditable AI agents (Axon) for industries with strict compliance needs (banking, insurance, healthcare, public sector). - Continuing to advance evaluation rigor (Synapse) to move beyond static benchmarks into use-case-specific, model-agnostic testing. ## Why Work Here - **Culture**: "Intensity of a startup and the footprint of a global enterprise" — lean, high-autonomy, outcome-focused with no red tape. - **Remote/Hybrid**: Flexible PTO and benefits tailored to location; global hubs in New York, San Francisco, Austin, London, Washington D.C., and Warsaw with regular in-person team off-sites. - **Perks**: Comprehensive health coverage (or stipend), 401(k) program, parental leave, equity, and flexible PTO. - **Engineering culture**: Focus on "replacing effort with intelligence" — builders work on recursive, reliable systems that improve with use; roles include Principal Software Engineer (Applied AI), Staff Software Engineer (Applied AI), Engineering Lead, and Backend Engineer. - **Growth trajectory**: Company was #2 fastest-growing AI company in 2024, headcount expanding rapidly, and with $100M+ funding and $134M revenue, there is significant upside and career velocity. - **Global & diverse**: Workforce spans 108 countries with hubs in major cities; employees from top AI talent sources (Outlier, Scale AI, DataAnnotation, Turing, xAI). ## Sources 1. [invisibletech.ai](https://invisibletech.ai/) 2. [LinkedIn Company Profile](https://www.linkedin.com/company/invisible-technologies-inc-) 3. [CB Insights Profile](https://www.cbinsights.com/company/invisible-technologies) 4. [Greenhouse Careers Page](http://job-boards.eu.greenhouse.io/invisibletech) ## Other roles at Invisible Technologies - [Site Reliability Engineer (Contract, Rotation-Based)](https://feeny.ai/job/site-reliability-engineer-contract-rotation-based-invisible-technologies-f62ant2mbvhk) — Estonia / India / South Africa - [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-invisible-technologies-london-kjfe3zw9qk2b) — London, United Kingdom - [DevOps Engineer](https://feeny.ai/job/devops-engineer-invisible-technologies-london-n4n936bxg2eg) — London, United Kingdom - [Senior Enterprise Solutions Manager](https://feeny.ai/job/senior-enterprise-solutions-manager-invisible-technologies-new-york-czj74vj04j0x) — New York, NY / San Francisco, CA - [Enterprise Solutions Manager](https://feeny.ai/job/enterprise-solutions-manager-invisible-technologies-new-york-we6wws5c3mr9) — New York, NY / San Francisco, CA - [Senior Enterprise Solutions Manager - Data Labs](https://feeny.ai/job/senior-enterprise-solutions-manager-data-labs-invisible-technologies-new-york-nekyyqcxgvwf) — New York, NY / San Francisco, CA - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-invisible-technologies-new-york-drykngjh2p4q) — New York, NY - [Senior Software Engineer, Applied AI (Forward Deployed)](https://feeny.ai/job/senior-software-engineer-applied-ai-forward-deployed-invisible-technologies-new-phwyx40j9w3p) — New York, NY - [Principal Software Engineer, Applied AI (Forward Deployed)](https://feeny.ai/job/principal-software-engineer-applied-ai-forward-deployed-invisible-technologies-mdpt759vaqbb) — New York, NY - [Principal Backend Engineer (Forward Deployed)](https://feeny.ai/job/principal-backend-engineer-forward-deployed-invisible-technologies-london-hctt1ygzx35x) — London, United Kingdom / New York, NY / San Francisco, CA