Hybrid Staff Software Engineer – Forward Deployed

at Invisible Technologies Inc.

• Job title: Staff Software Engineer – Forward Deployed
• Job type: Full Time
• Experience level: Lead
• Salary: $215,000 - $310,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, ETL, Google Cloud Platform, Kafka, Kubernetes, Python, Unity
• Location requirements: Hybrid, New York City, United States

About the role

• Staff Software Engineer leading AI-powered solutions at Invisible Technologies. Driving strategy, architecture, and execution of end-to-end systems while collaborating with clients.

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

• 8+ 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 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