About FullStack
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.

We're Most Proud Of

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world's greatest companies.
• Our 4.2-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Opportunity
Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI-focused Solutions Architect.

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

• 8+ years of professional Solutions Architecture experience.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Proven ability to architect and deliver end-to-end Generative AI solutions, from LLM integration to production deployment.
• Strong experience designing LLM powered systems, including prompt engineering, context management, and structured output pipelines.
• Hands-on experience building agentic GenAI workflows, including tool use, memory strategies, and multi-step reasoning orchestration.
• Proven experience implementing or integrating systems using the Model Context Protocol (MCP) for context-aware AI applications.
• Practical experience developing AI-native applications using the Vercel AI SDK or similar GenAI frameworks.
• Deep understanding of retrieval-augmented generation (RAG), embeddings, vector stores, and semantic search architectures.
• Strong ability to translate ambiguous product requirements into scalable GenAI system designs.
• Advanced proficiency in full-stack TypeScript/JavaScript within AI-driven application environments.
• Experience designing API-first, AI-native platforms optimized for LLM interaction patterns.
• Experience integrating Generative AI capabilities into enterprise ecosystems such as Salesforce or comparable CRM/ERP platforms.
• Comfortable operating in fast-moving GenAI environments with evolving models, tooling, and best practices.
• Ability to balance rapid experimentation with production-grade reliability, observability, and scalability in GenAI systems.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
• Ability to consistently work 40 hours per week.

What We Offer

• Competitive pay.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities.
• Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

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