Staff Software Engineer, Forward Deployed jobs in United States
cer-icon
Apply on Employer Site
company-logo

Invisible Technologies · 1 month ago

Staff Software Engineer, Forward Deployed

Invisible Technologies is the AI operating system for the enterprise, specializing in structuring messy data and building digital workflows. As a Staff Forward Deployed Engineer, you will lead AI-powered solutions, drive strategy and architecture, and work directly with clients to enhance their workflows.

Data Center AutomationInformation TechnologyProductivity ToolsProject Management
check
H1B Sponsor Likelynote

Responsibilities

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

Qualification

PythonML/LLM frameworksSystem designFull-stack deploymentProject ownershipCommunicationMentoring skills

Required

5+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python and experience with ML/LLM frameworks such as Hugging Face, LangChain, OpenAI, Pinecone, etc
Familiarity with full-stack or API-based deployment patterns (Docker, FastAPI, Kubernetes, GCP/AWS)
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; 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
Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across Europe 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

Benefits

Bonuses and equity are included in offers above entry level.
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings.

Company

Invisible Technologies

company-logo
Invisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI.

H1B Sponsorship

Invisible Technologies has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)

Funding

Current Stage
Growth Stage

Leadership Team

leader-logo
Emily O'Connor
Director of Operations / Chief of Staff to the CEO
linkedin
leader-logo
Scott Downes
CTO
linkedin
Company data provided by crunchbase