Software Engineer working with clients to deploy AI-powered solutions at Invisible Technologies. Involves scoping problems and building workflows for scalable systems in a hybrid environment.
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
Iterate quickly based on real-time feedback from operators and clients
Build reusable tooling and infrastructure that accelerates future deployments
Requirements
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
Benefits
Offers will also include bonus + equity + benefits
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