Build production-grade AI workflows, agent systems, automations, and integrations spanning recruiting, security, finance, customer onboarding, and go-to-market operations. The role suits exceptional new graduates or engineers with up to one year of experience, strong software fundamentals, and hands-on AI project experience.
160k – 270k/yr
On-siteEntry levelFullstack Engineering
About the role
Responsibilities
HR & Recruiting AI Systems
Build systems that extract structured signals from resumes, including skills, experience, founder traits, and domain expertise.
Develop lead-scoring models to predict interview success and role fit.
Design AI recruiter workflows for candidate screening and qualification.
Automate personalized outbound email and candidate-engagement workflows.
Security & Compliance Automation
Build automation systems for customer security workflows, including BAAs, DPAs, DocuSign, and contract-review flows.
Automate security-questionnaire and compliance-response generation.
Improve internal tooling for enterprise readiness and audit processes.
Operational Infrastructure Tools
Build accounts-receivable automation and finance-related email workflows.
Create automated enterprise customer onboarding and account-setup tools.
Design internal systems that reduce manual operational overhead across teams.
Third-Party Integrations & Platform Work
Integrate with CRM systems such as Salesforce, HubSpot, and GoHighLevel.
Build workflow automation using Zapier, n8n, and Make.
Design LLM-powered systems using OpenAI, Gemini, Claude, and other models.
Own API-based integrations connecting internal systems across the company.
GTM Engineering & Growth Automation
Build HubSpot and Lark automations to improve sales and marketing efficiency.
Develop lifecycle automation systems for customer engagement and retention.
Create targeted website personalization and ad-content generation systems.
Build email-personalization and outbound-automation pipelines at scale.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, or a closely related technical field.
New graduate or up to 1 year of professional software engineering experience.
Strong internships, research, startup work, or meaningful side projects demonstrating exceptional engineering ability.
Strong software engineering fundamentals in backend, full-stack, or systems development.
Hands-on experience building with LLMs, AI agents, or modern AI tooling through internships, research, or personal projects.
Founder mindset, strong ownership, and ability to work across product, engineering, and operations.
Ability to move quickly, learn fast, and thrive in ambiguous environments.
Preference for building end-to-end systems over narrowly defined tasks.
Focus on solving customer problems and shipping impactful products.
Compensation & Benefits
Cash compensation: $160,000–$270,000.
Meaningful equity.
Medical, dental, and vision insurance fully covered.
$70/day DoorDash credit for meals and snacks.
$200/month wellness reimbursement.
$300/month commuter reimbursement.
$75/month phone-bill reimbursement.
$50/month internet reimbursement.
Three cash-equity balance options with best-offer-upfront compensation.
Work authorization sponsorship may be available for qualified candidates, including H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.
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