Full Stack Developer

About the Company Ajaia is a rapidly growing AI consultancy and product studio dedicated to helping organizations move from experimentation to real results. We operate across four core pillars: AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products, copilots, and vertical solutions that solve high-value industry problems. This dual model allows us to translate hands-on implementation experience into scalable products while continuously refining our approach through real-world deployment. Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high-impact solutions that drive measurable operational value. From executive roadmapping to production-ready systems and workforce upskilling, Ajaia embeds intelligent tools directly into the workflows that matter most. Mission: Help organizations win the AI moment. Position Overview As an AI-Native Full Stack Developer at Ajaia, you will build software across both client engagements and internal product initiatives where technical speed, adaptability, and execution quality matter. You will be expected to take vague requirements, clarify the real problem, and ship robust solutions across web interfaces, backend services, integrations, and AI-driven workflows. This is an individual contributor role suited for someone who can build with autonomy while collaborating closely with product, delivery, and client-facing teams. The role requires comfort working in fast-moving environments where priorities evolve and rapid iteration is expected. Every role at Ajaia is AI-forward. We expect developers to use AI tools in daily workflows across research, implementation, debugging, testing, and documentation. AI usage is a core execution capability, not optional tooling. Primary Responsibilities Build and maintain full stack features for AI-enabled applications, internal platforms, and client delivery systems. Work across frontend implementation, backend logic, API design, database operations, and cloud deployment. Support the development of production systems that combine traditional software engineering with AI-powered capabilities. Use AI tools regularly for coding support, debugging, technical research, test generation, and documentation improvement. Collaborate with delivery leads, designers, and other engineers to translate priorities into production-ready software. Navigate ambiguous project conditions, identify risks early, and unblock execution through pragmatic decision-making. Contribute to code quality, reusable engineering patterns, and development process improvements. Help ensure systems are maintainable, secure, observable, and ready for continuous iteration. Job Requirements Strong hands-on experience building and shipping full stack applications in professional environments. Ability to implement responsive frontend interfaces and reliable backend services with strong attention to performance and quality. Experience working with APIs, databases, authentication systems, cloud services, and modern deployment workflows. Strong ownership mindset with the ability to operate effectively without highly detailed requirements. Comfort managing multiple priorities or workstreams in a fast-moving consultancy or product environment. Proficiency with GitHub and standard modern developer tooling used for collaboration and delivery. Strong written and verbal communication skills when working with both technical and non-technical stakeholders. Active daily use of AI tools for planning, implementation, debugging, testing, and technical documentation. Ability to critically evaluate AI-generated output and maintain a high standard for correctness and reliability. Preferred Qualifications Experience building AI-enabled product features or integrating large language models into applications. Familiarity with workflow automation, prompt design, or applied LLM systems. Experience working in startup, consultancy, or fast-iteration environments. Schedule and Location This is a fully remote role within approved hiring locations, subject to Ajaia hiring and compliance requirements. Working schedule follows Eastern Time hours: Monday to Friday, 9:00 AM to 5:00 PM ET, including holidays. Technical Requirements Reliable wired internet connection with at least 100 Mbps speed. Computer or laptop with Intel Core i5 or Ryzen 5 processor or higher. Minimum 8 GB RAM and at least 128 GB available storage. Dual-monitor setup preferred. Windows 10 or macOS (latest version). 1080p webcam and working microphone. Backup solutions for power and internet interruptions. Compensation and Benefits Compensation: Competitive Base Salary + Performance Bonus Remote work with earned flexibility. Professional development opportunities. Paid time off. Why Join Ajaia This role provides exposure to a wide range of applied AI and software delivery challenges while keeping you close to real implementation work. You will have the opportunity to build across both client and internal initiatives, collaborate directly with operators and technical leaders, and develop the range that strong AI-native engineers need to stand out. The environment rewards ownership, speed, and clarity rather than bureaucracy. At Ajaia, you will work at the forefront of applied artificial intelligence and contribute to systems that reach real production environments. We expect all team members to be AI-native practitioners who actively use AI in their daily workflows to improve speed, quality, and outcomes. Experience the Ajaia difference. Let’s build what’s next. Requirements Job Requirements Strong hands-on experience building and shipping full stack applications in professional environments. Ability to implement responsive frontend interfaces and reliable backend services with strong attention to performance and quality. Experience working with APIs, databases, authentication systems, cloud services, and modern deployment workflows. Strong ownership mindset with the ability to operate effectively without highly detailed requirements. Comfort managing multiple priorities or workstreams in a fast-moving consultancy or product environment. Proficiency with GitHub and standard modern developer tooling used for collaboration and delivery. Strong written and verbal communication skills when working with both technical and non-technical stakeholders. Active daily use of AI tools for planning, implementation, debugging, testing, and technical documentation. Ability to critically evaluate AI-generated output and maintain a high standard for correctness and reliability. Benefits Compensation and Benefits Compensation: Competitive Base Salary + Performance Bonus Remote work with earned flexibility. Professional development opportunities. Paid time off.