Invisible Technologies is looking to solve the problem of bridging the gap between AI potential and production by developing and deploying AI-powered solutions for clients' critical workflows.
Requirements
- 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
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
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
Other
- Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
- 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.
- We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity.
- If you’re looking for predictable routines, this isn’t the place for you.
- If you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.
