Software Engineer - Varick Agents
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Role details
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Job description
This is a high-ownership engineering role building and deploying production AI agents into major enterprise environments. You will ship production code daily, own code quality and engineering standards, and progress toward leading a small engineering team within 6 months.
What You’ll Own
- Build production AI agents against audit specifications
- Deploy solutions into Salesforce, NetSuite, D365, and similar enterprise systems
- Ship production code daily
- Own code quality and engineering standards
- Take ownership across systems without waiting for direction
- Progress toward leading a small engineering team within 6 months, * Candidates who cannot explain shipped projects
- Slow executors with weak engineering fundamentals
- Poor response to feedback
- Framework memorization without systems understanding
Interview Process
- Pending approval
- Initial screen
- First round
- Second round
- Third round
- Onsite
- Offer
Requirements
Do you have experience in Software engineering?, * 1-4 years of professional software engineering experience
- Strong software engineering fundamentals and production development experience
- AI-native builder experience with Claude, Codex, agent frameworks, or API loops
- Fast execution and strong ownership mentality
- Comfortable operating in ambiguity
- Able to receive and implement feedback quickly
- Willing to work onsite in San Francisco 5 days/week, Strong signals include experience at Ramp, Cursor, xAI, or top AI-native startups, strong GitHub presence, open source contributions, agent infrastructure experience, LLM application development, and a systems-thinking mindset. Ideal roles: Product Engineer, Software Engineer, AI Engineer, Full Stack Engineer, Agent Infrastructure Engineer, LLM Applications Engineer, Startup Engineer, Founding Engineer, or Early-Stage Startup Builder.
About the company
Varick Agents builds enterprise AI agents for some of the largest companies in the world - working with $1B-$100B revenue enterprises with a reported 100% production deployment success rate. The team includes talent from Meta, AWS Bedrock, Citadel Securities, McKinsey, and Stanford.
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