
Staff Software Engineer- Backend
Overview
Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production.
Job Description
Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue.
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
Required Skills
- - 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 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.
Benefits
- - Fair and competitive pay
- - Bonuses and equity included in offers above entry level
- - Compensation adjusted to reflect local market conditions and cost-of-living differentials
- - Additional details on total compensation and benefits will be discussed during the hiring process
About the company
AI. Automation. People. Our process orchestration platform uses flexible combinations of generative AI, 300+ integrations, and over 3,500 trained experts as managed services to tackle your problems at any scale.
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