Fullstack Engineer

Overview

As a Full Stack Engineer, you will build AI-powered products and internal systems from concept to deployment. You will identify opportunities to automate workflows, improve efficiency, and enable better decision-making across the business. You’ll work with a senior engineering team to shape how AI is embedded across the organization, delivering end-to-end solutions in a fast-paced startup. This role offers high ownership, cross-functional collaboration, and the chance to work on scalable AI-driven processes that impact real-world operations. You will contribute to a mission-driven environment where rapid iteration and impactful outcomes matter.

Pay / Benefits

• High ownership from day one
• Small, highly experienced engineering team
• End-to-end responsibility and influence on product direction
• Fast-moving environment with rapid decision-making and deployment cycles
• Opportunity to shape how AI transforms business operations at scale

Responsibilities

• Build AI-powered products, tools, and internal systems from concept to deployment
• Identify opportunities to automate workflows and improve operational efficiency
• Design and implement intelligent automations, integrations, and AI-driven processes
• Collaborate with stakeholders across multiple business functions to solve real-world problems
• Translate business challenges into scalable technical solutions
• Own end-to-end delivery, including architecture, development, deployment, and iteration

Key requirements

• Experience in Backend, Full Stack, Platform, or AI-focused software engineering
• Strong software engineering fundamentals
• Experience with APIs, databases, cloud infrastructure, and modern development tools
• Exposure to AI, LLM, agentic systems, automation platforms, or related technologies
• Proven track record of shipping production software
• Strong ownership mentality and ability to thrive in ambiguous environments
• Comfortable working independently in a fast-paced startup setting
• Strong communication skills with both technical and non-technical stakeholders

• Ownership mindset
• Strong communication
• Independent working style
• APIs
• Databases
• Cloud infrastructure

…