Full Stack AI Engineer

Accountabilities

• 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.


• Experiment with AI frameworks, large language model technologies, open-source tools, and low-code platforms to deliver effective solutions.


• Collaborate directly with stakeholders to translate business needs and product concepts into scalable technical implementations.


• Contribute to the development and maintenance of shared libraries, reusable components, prompts, and internal frameworks.


• Support product launches and provide technical expertise across multiple projects when needed.


• Continuously optimize workflows, improve product performance, and identify opportunities for innovation.

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.

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