Invisible Technologies is looking to solve the problem of making AI work in the enterprise by building and deploying AI-powered solutions that transform how work gets done.
Requirements
6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
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
Other
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
