Invisible Technologies is looking to solve the problem of bridging the gap between AI potential and production for its clients, including leading foundation model providers, enterprises, and governments.
Requirements
- 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
- 1-4 years of professional experience in software engineering or ML engineering
Responsibilities
- 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.
Other
- 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 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
- Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience.
