Company Description
OnlyEdge is building the system of record for decision intelligence in private equity.
Today, critical leadership decisions are made through fragmented conversations, emails, spreadsheets, recruiter notes, interviews, diligence calls, and institutional memory that disappears over time.
OnlyEdge captures the signals, judgment, and outcomes behind those decisions so that they can be reused across deals, portfolios, and funds.
We believe edge is capturing the judgment behind what you do with data. It is not simply about extracting data faster.
We are entering a critical phase of MVP launch, commercialization, validation, and scale. You will help launch the system, onboard customers, and scale the architecture for growth.
Responsibilities and Duties:
· design, develop, and maintain full-stack applications
· build AI-native workflows leveraging LLMs, search, retrieval, and intelligence systems
· design and maintain APIs, data models, integrations, and supporting services
· optimize application performance, scalability, reliability, and operating costs
· contribute to architecture, technical direction, and engineering standards
· support technical diligence, commercialization efforts, and fundraising activities
· recruit, evaluate, and onboard engineering resources upon growth
Required:
· building and shipping production software in startup or growth environments
· AI development tools (Cursor, Claude, OpenAI, Replit, Vercel)
· modern web applications (Node.js, React.js, TypeScript, Python)
· AWS cloud infrastructure, deployment, and production operations
· AI/ML technologies particularly LLMs
· database systems (PostgreSQL, MySQL, etc.)
Preferred:
· AI/ML and LLM frameworks (LangChain, HuggingFace, RAG)
· state management libraries (Redux, MobX)
· search, retrieval, ranking, recommendation systems (ElasticSearch, OpenSearch, SOLR)
· containerization, micro-services, messaging and event-driven architecture
· CI/CD pipelines and DevOps practices
· domain knowledge of private equity and enterprise SaaS
What We Value
We care far more about engineering judgment, systems thinking, ownership, execution speed, adaptability, and business understanding than years of experience. If interested, please send your CV, LinkedIn profile, GitHub, and shipped work that demonstrate how you think and execute. Compensation is structured around meaningful equity ownership during MVP launch and commercialization. Initial cash is modest and designed to increase with milestones.
Who we want: Talent developers. Growth-oriented managers who recruit and hire top-performing talent and prioritize the development of their team...
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