Staff Software Engineer, Forward Deployed

• Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders
• Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures
• Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
• Build usable systems from messy data and incomplete or evolving requirements
• Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)
• Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration
• Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity
• Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible

• Active U.S. Department of Defense Secret clearance or higher
• 8+ years of software engineering experience, including work on data-intensive, ML, or backend systems
• Experience leading requirements-gathering activities and translating stakeholder input into technical specifications
• Python & ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)
• Deployment & infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)
• Platform & data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes
• Ability to work on-site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area

Bonuses and equity are included in offers above entry level