Senior Software Engineer

G-P is a leading SaaS-based Global Employment Platform™ dedicated to breaking down barriers to global business. They are seeking a Senior Software Engineer to drive technical discovery and develop innovative software solutions within an agile team focused on rapid experimentation and product-market fit.

Responsibilities:

• Extreme Product Ownership: Drive the technical discovery, design, API contracts, and rapid discovery of net-new business concepts
• Ship Weekly Behavioral Probes: Collaborate with your PM counterpart to build and launch weekly 'sketchy V0s,' fake-door landing pages, and concierge MVPs designed strictly for speed of validated learning
• Be an Eng Hacker: Prioritize speed over perfect architecture. Write clean enough code to test a hypothesis, but remain entirely willing to completely scrap and rewrite your stack when a project is killed or pivoted
• Build the Scrappy Engine: Wire up fast integrations, stitch together APIs, configure authentication, and implement usage tracking and product-led analytics on the fly
• Leverage Frontier Tech: Serve as the technical expert on the team, translating emerging primitives—like LLMs, multi-agent frameworks, decentralized protocols, and automation tools—into functional software prototypes
• Participate in Discovery: Don't just sit in an IDE. Join user interviews, review behavioral data with your PM, and use first-principles thinking to help decide whether to Persevere, Pivot, or Kill a concept at the end of each week

Requirements:

• Full-Stack Prototyping Chops: You can spin up frontend interfaces, spin down databases, and configure API integrations completely on your own. You are a generalist who values functional software over specialization
• Agentic AI Mastery: You use modern AI development accelerators (e.g., Cursor, Claude, GitHub Copilot) daily to build software at startup velocity
• 0-to-1 Hacking Experience: A proven track record of building apps, side projects, or early-stage software features from scratch
• Data Integration Agility: Experience working with disparate datasets, writing quick data transformation scripts, and setting up clean analytics events to track how users interact with prototypes
• Workflow Encoding Intuition: Ability to take real-world, friction-filled processes (like legal, compliance, or HR workflows) and rapidly translate them into elegant digital logic
• Extreme Ownership and Speed: You default to action, require zero supervision to deploy software, and possess a massive tolerance for ambiguity and changing requirements
• Early Startup Engineer: Experience working as a technical co-founder or an early engineering hire at an early-stage startup
• AI/LLM App Development: Hands-on experience building prototypes that leverage LLM orchestration libraries (e.g., LangChain, LlamaIndex, Vercel AI SDK) or custom agentic workflows
• Platform Deployment Agility: Proven ability to deploy, manage, and debug cloud-native prototypes autonomously using AWS services (e.g., ECS/Fargate, S3, Lambda or Bedrock)
• Integration Experience: Practical knowledge of rapidly integrating with diverse enterprise APIs (e.g., HRIS, fintech, identity management, CLMs) with a particular focus on fast auth and data mapping