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Senior Software Engineer, Forward Deployed

Senior Software Engineer, Forward Deployed

Invisible TechnologiesAustin, Texas, USA
Hace 2 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

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 worlds 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) youll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. Youll 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. Its perfect for someone who wants to be hands-on with models and close to the impact they generate.

What Youll 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 system design instincts 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; youve 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
  • Ability to travel roughly 2550% of the time sometimes short-notice tripsprimarily across North America with occasional international roll-outsto work directly on-site with clients
  • Strong engineering background demonstrated by a Bachelors degree in Data Science Computer Science and related fields OR equivalent professional experience
  • 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

    $182000 - $266000 USD

    Tier 2

    $165000 - $242000 USD

    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 Its 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 weve 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 :

    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 .

    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.

    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.

    Required Experience :

    Senior IC

    Key Skills

    Spring,.NET,C / C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 182000 - 266000

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    Forward Deployed Engineer • Austin, Texas, USA