Staff Software Engineer (Forward Deployed)
About The Position
As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.
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
- Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
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
- Be willing to be on-call for our customers when situations arise
Benefits
- Bonuses
- Equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
