Invisible Technologies Logo

Invisible Technologies

Senior Software Engineer, Applied AI (Forward Deployed)

Reposted 21 Days Ago
Be an Early Applicant
Hybrid
New York, NY
180K-264K Annually
Senior level
Hybrid
New York, NY
180K-264K Annually
Senior level
As a Senior Software Engineer, you'll build and deploy AI-powered solutions, collaborating with clients to optimize workflows, design systems, and handle ambiguous problems.
The summary above was generated by AI
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

As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders.

This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.

You will need to be based in the Greater NYC area and be willing to work from the Manhattan office 3-4 days a week.

What You’ll Do
  • Collaborate with delivery leaders to scope technical solutions to operational problems
  • Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
  • Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
  • Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
  • Iterate quickly based on real-time feedback from operators and clients
  • Build reusable tooling and infrastructure that accelerates future deployments
What We Need
  • 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
  • Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
  • Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
  • Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
  • Strong product and distributed systems skills — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
  • Be willing to be on-call for our customers when situations arise
  • Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
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:

Salary Range
$180,000$264,000 USD

*Offers will also include bonus + 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 all 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.

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. 

Invisible Technologies San Francisco, California, USA Office

410 Townsend, San Francisco, CA, United States, 94107

Similar Jobs

A Minute Ago
In-Office
2 Locations
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Own, build, and operate production reliability tooling and systems across the cloud stack. Lead projects to improve availability, scalability, automation, observability, and incident response. Ship production services in Python/Go, participate on-call, reduce toil through automation, and maintain long-lived platform frameworks.
Top Skills: Cloud-NativeGoGpu-Accelerated InfrastructureKubernetesMetricsPythonSlos/SlisStructured LogsTracing
2 Minutes Ago
In-Office
187K-200K Annually
Senior level
187K-200K Annually
Senior level
Cloud • Information Technology • Machine Learning
Hunter-focused enterprise Account Executive responsible for net-new logo acquisition in a greenfield NYC territory. Build pipeline from zero, engage technical and executive buyers, run technical discovery and PoVs with Solution Architects, convert PLG adoption to enterprise contracts, manage full sales cycles including MSA, procurement, and security reviews, and maintain CRM forecasting and pipeline hygiene.
Top Skills: Ai Developer ToolingCRMGpu CloudHpcLlmopsMlopsWeights & Biases
4 Minutes Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
100K-150K Annually
Senior level
100K-150K Annually
Senior level
Enterprise Web • Hardware • Internet of Things • Software
Own and close complex B2B SaaS deals in the US aerospace & defense vertical. Build and maintain a self-sourced pipeline, manage full sales cycle from discovery through negotiation and close, partner with pre-sales and customer success, capture field intelligence to inform product and GTM, and mentor junior AEs.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account