Principal Software Engineer leading AI-powered solutions at Invisible Technologies. Overseeing architecture and implementation of client workflows in a hybrid role.
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
Requirements
12+ 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
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
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings.
Salary structure accounts for regional differences in cost of living while maintaining internal equity.
Bonuses and equity are included in offers above entry level.
Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.
Reasonable accommodations for individuals with disabilities are provided.
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