What are the responsibilities and job description for the Founding Engineer, Full-Stack position at Pegasi AI?
About Pegasi AI
Pegasi AI is building the Corrective Layer of AI—bridging the gap between GenAI agents and human expertise. Our platform creates intelligent feedback loops that continuously improve AI outputs, enhance reliability, strengthen security, and optimize performance.
The Opportunity
As a Founding Engineer at Pegasi AI, you'll be at the forefront of designing and building sophisticated human-AI interaction systems that form the backbone of our corrective layer. This role offers a unique opportunity to shape how humans and AI systems collaborate effectively at scale.
You'll work directly with our leadership team to create intuitive interfaces and powerful backend systems that facilitate meaningful human oversight and feedback, ensuring AI systems continuously learn and adapt to human expectations.
What You'll Do
- Design and implement intuitive interfaces for human-AI interaction loops that make alignment accessible and efficientScale
- backend services that efficiently process human feedback and incorporate it into AI decision-making processesBuild
- dynamic feedback systems that capture human input and translate it into actionable corrections for AI systemsArchi
- tect scalable enterprise-grade solutions that maintain performance under heavy workloadsImple
- ment robust security protocols to protect sensitive data and AI interactionsDevel
- op real-time monitoring dashboards that visualize AI behaviors and highlight potential misalignmentsApply
- research-backed approaches to human-AI collaboration and alignment challengesHelp
- establish engineering best practices that balance innovation with reliability and security
- 5 years of professional software engineering experience, ideally including time at FAANG or similar high-growth startup companies, and early-stage e xperienceExper
- ience building and scaling systems for enterprise environments with demanding performance requirementsStron
- g expertise in building secure, responsive user interfaces using React, TypeScript, and modern front-end frameworksBackg
- round in applied AI research or implementing research findings into production systemsProfi
- ciency in backend development with Python, Go, or similar languages for creating reliable web servicesDeep
- understanding of security best practices for AI systems and data protectionProve
- n ability to design and implement systems that can scale from prototype to productionExper
- ience with human-AI interaction loops or other feedback systems that improve AI performanceBache
- lor's degree in Computer Science or equivalent practical experience
- Previous experience at FAANG companies or other major tech firms building AI-powered products
- Background implementing AI systems in regulated or high-security environments
- Experience deploying and managing Large Language Models or other GenAI systems at scale
- Expertise in optimizing systems for enterprise-level performance and reliability
- Knowledge of compliance frameworks relevant to AI deployment (SOC 2, GDPR, etc.)
- Startup experience, particularly in early-stage deep tech environments
- Founding team equity with significant upside potentialCompe
- titive salaryFlexi
- ble hybrid work environment with a hub in New York CityDirec
- t influence on shaping the future of human-AI collaborationChall
- enging technical problems that combine research insights with practical implementationProfe
- ssional development opportunities as we scale our team and technologyColla
- borative culture focused on bringing enterprise-grade security and scalability to cutting-edge AI systems
What We're Looking For
Preferred Qualifications
What We Offer