Invisible Technologies is the AI operating system for the enterprise. As a Principal Software Engineer, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows.

Requirements

12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
Data Management: 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
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 10–30% of the time, sometimes short-notice trips—primarily across Europe with occasional roll-outs outside of Europe —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

Generous Paid Time Off
401k Matching
Retirement Plan
Visa Sponsorship
Four Day Work Week
Generous Parental Leave
Tuition Reimbursement
Relocation Assistance

Requirements

12+ years of software engineering experience, including significant time spent building data, ML, or backend systems

Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems

Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)

Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance

Data Management: 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

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 10–30% of the time, sometimes short-notice trips—primarily across Europe with occasional roll-outs outside of Europe —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

Principal Software Engineer

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Requirements

Benefits

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Job Details

About Invisible Technologies Inc.

Software Engineer