Software Engineer, Forward Deployed at Invisible Technologies | CA, US | Rezi

Software Engineer, Forward Deployed at Invisible Technologies

Software Engineer, Forward Deployed

Invisible Technologies · CA, US

Today

Software Engineer, Forward Deployed

Invisible Technologies · CA, US

an hour ago
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About the Role

As a Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to build and deploy AI-powered solutions. You will own projects end-to-end, from scoping ambiguous problems and prototyping AI workflows to deploying scalable systems. This hybrid role combines AI engineering, software development, and technical consulting, offering hands-on experience with models and their impact.

Responsibilities

  • 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

Requirements

  • Hands-on experience in software engineering or ML engineering through professional roles, internships, or coursework/research projects
  • Experience building usable systems from messy data and ambiguous requirements
  • Strong communication skills — you can explain technical decisions to delivery teams and client stakeholders
  • Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
  • Willingness to be on-call for our customers when situations arise
  • Willingness to travel for on-site client engagements as needed

Skills

  • Python
  • PyTorch
  • Hugging Face
  • LangChain
  • OpenAI APIs
  • Data pipelines
  • APIs
  • Docker
  • FastAPI
  • GCP/AWS

Location

  • Remote
  • Onsite

Work Type

  • Hybrid

Experience Level

  • Entry Level
  • Mid Level
  • Senior Level

Salary/Compensations

  • $93,000 - $217,000 USD

Benefits

  • Bonuses
  • Equity

About the Company

  • Invisible Technologies makes AI work by providing an end-to-end AI platform that structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise.
  • The platform cleans, labels, and structures company data for AI, adapting models to each business and adding human expertise when needed.
  • Invisible has improved models for over 80% of the world's top AI companies, including Microsoft, AWS, and Cohere.
  • Successes include supply chain automation for Swiss Gear, AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
  • The company has been profitable for over five years, achieved $134M in revenue, and ranked as the second fastest-growing AI company on the 2024 Inc. 5000.
  • In September 2025, Invisible raised $100M in growth capital to accelerate its mission of making AI work in the enterprise and advance its platform technology.
  • At Invisible, 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 core to our values; employees build, innovate, and shape the future alongside world-class clients.
  • We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity in a fast-paced environment.

Equal Opportunity

  • 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.
  • Invisible may use automated decision-maker technologies to filter candidates based on response to application questions and other provided information. If you object to our use of automated decision-making please contact us.