Invisible Technologies is hiring a Software Engineer - Forward Deployed

Invisible Technologies is hiring a Software Engineer - Forward Deployed. In this role, 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.

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're Looking For

• 1-4 years of professional experience in software engineering or ML engineering.
• 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.
• Ability to travel roughly 25–50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients.
• Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience.

Technical Stack

• Python, PyTorch, Hugging Face, LangChain, OpenAI APIs
• Docker, FastAPI
• GCP, AWS
• LLMs, embedding models, retrieval systems, automation tools

Benefits & Compensation

• Compensation range: $121,000 - $134,900 USD (Tier 1 location).
• Compensation adjusted for local market conditions and cost-of-living differentials outside the U.S.
• Equity is included in offers above entry level.

Work Mode

This is a hybrid position based in New York or the San Francisco Bay Area.

Company Culture

• Ownership is at the core of everything we do.
• We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity.
• Fast-paced environment with big challenges and unmatched growth.
• Not for those looking for predictable routines.
• Driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution.

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.