Design and build core product features and infrastructure; develop and operate distributed microservice systems and data pipelines; optimize for performance, reliability, and scalability; integrate LLMs/agent-based workflows; collaborate closely with founders and shape engineering culture at an early-stage company.
Company Description
Nyne is the people data company that gives AI agents and enterprises a unified, real-time view of any person or business. We are backed by exceptional investors, including South Park Commons, and are building foundational infrastructure for agent-driven software used in real production environments.
Role Description
We are seeking dynamic and driven Founding Engineers to play a pivotal role in shaping the technological foundation and strategy of our early-stage company. This is a full-time, on-site position based in San Francisco, CA. As a Founding Engineer, your responsibilities will include designing and developing core product features, optimizing systems for performance and scalability, and collaborating closely with the founding team to bring the company's vision to life. You will have the unique opportunity to work across the tech stack, make decisive technical choices, and help build a strong engineering culture within the organization.
Qualifications
- Strong software engineering fundamentals, regardless of language or framework
- Experience designing, building, and operating distributed systems and microservice-based architectures
- Comfort working across multiple codebases and services with different technology choices
- Solid experience with cloud infrastructure (AWS, GCP, or similar) and production deployments
- Deep familiarity with Linux servers, networking basics, and operating system level debugging
- Experience building, operating, or maintaining data pipelines and backend services at scale
- Ability to reason about performance, reliability, and system tradeoffs in real production environments
- Familiarity with agent-based systems, LLM-powered workflows, or integrating AI models into production systems
- Strong problem-solving ability and comfort operating with incomplete information
- Clear communication and the ability to work closely with founders in a fast-moving, early-stage environment
- Prior experience as a founder, early engineer, or technical owner of critical systems is a strong plus
- Degree in Computer Science or equivalent practical experience preferred, but not required
The base pay range for this role is $140,000 – $220,000 per year.
Similar Jobs
Artificial Intelligence • Legal Tech
Founding data engineer responsible for consolidating multiple data sources into a BigQuery warehouse, building ETL/ELT pipelines, creating self-serve data tools (including natural-language/LLM agents), enabling analytics and personalization, and defining data engineering standards and infrastructure for a growing AI product.
Top Skills:
BigQueryData LakeEtl/EltGoogle Cloud PlatformLlmsPythonSQLTerraformText-To-Sql
Artificial Intelligence • Machine Learning • Generative AI
Founding full‑stack engineer to design, prototype, and ship AI-powered legal products. Own end-to-end frontend and backend systems, build on OpenAI platforms and APIs, iterate with product/design/research, and help define technical foundations and engineering culture for the Legal team.
Top Skills:
Openai ApiOpenai Internal PlatformsOpenai Models
Agency • Artificial Intelligence • HR Tech • Professional Services
Build and own core product workflows and abstractions for tax, bookkeeping, and practice operations. Implement AI-agent driven automations, interfaces, data models, and review loops; iterate from real customer usage to durable product.
Top Skills:
Ai AgentsDockerPostgresReactSwiftTypescript
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
