Software Engineer

Gitwit

full-time

Posted on: 9/22/2025

Origin: • 🇺🇸 United States • Oklahoma

✨ AI Apply

💰 $125,000 - $150,000 per year

Mid-LevelSenior

AWSGoogle Cloud PlatformMongoDBPostgresReactTypeScript

About the role

Serve as the founding/first engineer for an early-stage AI-native venture; act as the technical cornerstone
Ship code daily to build prototypes, MVPs, and first-production systems that users love
Lead technical architecture from zero-to-one, balancing speed and scalability
Shape the product roadmap alongside the founding team, not just implement it
Build full-stack web or mobile apps with fast feedback loops
Integrate AI frameworks (e.g., OpenAI, Anthropic, Gemini) into user products with thoughtful model selection and prompt design
Set engineering culture and practices, from testing standards to delivery speed
Make early technical decisions that will shape the company’s trajectory
Kill bad ideas quickly and scale promising ones with conviction
Collaborate directly with founding team and Gitwit studio partners to iterate on product and user validation
Typical tech stack may include: Frontend: React + TypeScript; Backend: NestJS + TypeScript; Databases: PostgreSQL or MongoDB; DevOps: AWS or GCP with GitHub Actions; AI: OpenAI, Anthropic, Gemini

5+ years of professional full-stack engineering experience
Previous startup or early-stage experience, or a strong desire to dive into zero-to-one environments
Proven track record of building software from scratch
Ability to ship real products fast and iterate based on user feedback
Deep product intuition and curiosity about what should be built
Experience balancing short-term practicality with long-term technical considerations
Ability to set technical direction and communicate it clearly to non-technical teammates
Startup grit; comfortable wearing many hats and solving unstructured problems
Humility, openness to feedback, and ability to debate ideas productively
Experience scaling MVPs into production systems with real traction (preferred)
Familiarity with AI/ML tools, vector databases, or autonomous agents (preferred)
Strong product sense that balances UX, reliability, and performance (preferred)
History of mentoring or leading engineers (preferred)
Ability to challenge assumptions and persuade a team to test new directions (preferred)