Elloe Ai
Technical Product Intern (Compliance x LLM Ops)
Austin, USA · Intern · Internship
Sponsorship not specifiedDetected 376 days ago
ExpressLLMsLLMOpsComplianceWireframingLogisticsFirewallHIPAA
About the role
- This role is built for a technical product thinker who wants to help define what trust looks like in AI systems.
Responsibilities
- Exposure to enterprise GenAI design constraints Referenceable work across dashboards, demos, and safety layers A tangible contribution to the infrastructure that keeps
- You'll partner with engineers, safety leads, and comms to make sure Elloe's products don't just work - they scale with clarity and precision.
- Interface & Safety UX Prototyping Design or wireframe user-facing safety elements: audit overlays, policy badges, drift alerts Build demo views or product mockups for partners and buyers 2.
Requirements
- That must be understood, trusted, and provable.
- Experience with LLM workflows, LangChain, or infra stacks Why This Matters Elloe's core differentiation is real-time enforcement.
Nice to have
- We protect enterprise AI from hallucinations, bias, and policy breaches - in real time.
- Our platform powers deployments at Google, Johns Hopkins, the EU Commission, and a Top-5 European Bank.
- About the Role This role is built for a technical product thinker who wants to help define what trust looks like in AI systems.
- You'll be prototyping safety overlays, translating policy into product logic, and mapping the competitive edge of our infrastructure stack.
- Competitive Analysis Break down features and positioning of adjacent tools (Vanta, CalypsoAI, Credo) Help shape differentiation around real-time enforcement vs passive monitoring 3.
Benefits
- Competitive stipend
- Competitive stipend Location: Remote-first; timezone overlap with EU or East Coast ideal To Apply: Share your resume and a short note on how you'd simplify the compliance UX for model-based APIs.
Apply directly at Elloe Ai →Create a free account for alerts like thisView Elloe Ai immigration profile
This listing is sourced directly from Elloe Ai's careers page and normalized into a canonical job model.