Invisible Technologies

Software Engineer, Forward Deployed

Invisible Technologies • $93K — $217K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1-4 years of software or ML engineering experience
  • Proficient in Python with tools like PyTorch and Hugging Face
  • Knowledge of data pipelines, APIs, and deployment strategies
  • Experience in creating systems from complex data and unclear requirements
  • Excellent communication skills for technical discussions
  • Comfortable in fast-paced, unstructured settings
  • Willingness to be on-call for client emergencies
  • Ability to travel 25-50% for client engagements

Responsibilities

  • Collaborate with leaders to define technical solutions for operational challenges
  • Identify and implement optimizations for workflows through customer engagement
  • Design AI-powered workflows utilizing various models and tools
  • Transform real-world constraints into effective engineering solutions
  • Iterate on feedback from operators and clients to improve systems
  • Develop reusable tools and infrastructure for faster deployments

Benefits

  • Commitment to fair and competitive compensation
  • Salary structure adjusted for cost of living
  • Includes bonuses and equity in offers
  • Catering to individual market conditions for non-U.S. candidates
  • Focus on diversity and equal opportunity in hiring
Full Job Description
About The Role

As a 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.
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
  • Hands-on experience in software engineering or ML engineering - through professional roles, internships, or coursework/research projects
  • Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs
  • Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS)
  • 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
  • Be willing to be on-call for our customers when situations arise
  • Travel: Willingness to travel for on-site client engagements as needed
  • Onsite: Available to work from the office a few days per week, depending on team needs
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.

The annual salary range for this position, depending on level, is: $93,000 - $217,000 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 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.

About Invisible Technologies

Invisible Technologies is a financial services company that provides a range of investment and financial planning services to individuals and businesses. The company's products include robo-advisory services, tax optimization tools, and retirement planning solutions. Invisible Technologies was founded in 2015 and is headquartered in San Francisco, California.
Learn more about Invisible Technologies
Size
100 employees
Industry
Founded
2015

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