Full Stack AI Engineer

Role Overview

Join a fast-paced, AI-focused environment where innovation, experimentation, and rapid execution are at the heart of every project. Work on building intelligent applications, AI-powered workflows, and scalable products that help validate new ideas and accelerate business growth.

What You Will Do

Design, develop, and deploy AI-powered applications, agent-based systems, and full-stack solutions. Build and iterate rapidly on prototypes, proofs of concept, and minimum viable products to validate ideas and market opportunities.

Why It Might Be a Fit

Ideal candidates thrive in dynamic environments, enjoy solving ambiguous challenges, and are passionate about delivering impactful products quickly. This role is well suited for engineers who want to shape the future of AI-driven products while working with a highly experienced and collaborative team.

Requirements

• Proven experience developing applications using Python and modern AI tools, frameworks, and APIs.
• Strong background in building and rapidly iterating on MVPs, prototypes, or experimental products.
• Experience working with a combination of commercial AI services, open-source technologies, and automation tools.
• Excellent problem-solving abilities with strong analytical and critical-thinking skills.
• Ability to work independently in a remote, asynchronous, and high-autonomy environment.
• Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
• Experience with AI agents, vector databases, retrieval-augmented generation (RAG), or similar technologies is highly valued.
• Familiarity with frontend development technologies such as React, Next.js, or related frameworks is a plus.
• Background in STEM, data science, machine learning, or quantitative engineering disciplines is advantageous.
• Previous experience in startup environments, high-growth organizations, or founder-led teams is preferred.

Benefits

• Competitive contract compensation during the initial evaluation period.
• Opportunity to transition into a long-term full-time or retainer-based engagement based on performance and mutual fit.
• Fully remote work environment with location flexibility.
• High level of ownership, autonomy, and exposure to impactful projects.
• Collaboration with experienced professionals across AI, product development, and infrastructure.
• Access to cutting-edge technologies, tools, and innovative product initiatives.
• Fast-moving culture focused on learning, experimentation, and continuous growth.
• Opportunity to contribute to a diverse portfolio of AI-driven products and ventures.