AI Engineer

Overview

Build AI-enabled software across client engagements and internal product initiatives, owning features from requirements through production, including the infrastructure, deployments and security they need.

What you'll do

• Own AI-enabled features end to end for client delivery systems, internal platforms and products.
• Work across frontend implementation, backend logic, API design and database operations.
• Build and integrate AI capabilities into production systems: LLM APIs, prompt workflows, retrieval (RAG), agents and automation.
• Set up and maintain the infrastructure your features run on: cloud services, environments and configuration.
• Own deployments for your features: CI/CD pipelines, releases, rollbacks and environment management.
• Apply security best practices in daily work: secure authentication, secrets management, access control and protection against common vulnerabilities (such as the OWASP Top 10).
• Use AI tools regularly for coding support, debugging, technical research, test generation and documentation.
• Turn ambiguous requests into clear technical tasks, estimates and delivery plans.
• Identify risks early and unblock execution through pragmatic decisions.
• Review code from peers and help junior engineers with patterns and practices.
• Keep systems maintainable, secure, observable and ready for continuous iteration.

What you'll need

• 2–5 years of hands-on experience building and shipping software in professional environments.
• Solid experience with a modern frontend framework (such as React or Next.js) and a backend stack (such as Python/FastAPI or Node.js).
• Experience with APIs, relational databases (such as PostgreSQL or MySQL) and authentication.
• Experience building features on top of large language models (prompting, tool use, retrieval or agent workflows).
• Hands-on knowledge of cloud platforms (AWS or Google Cloud Platform), containers (Docker) and core services such as compute, storage, networking and managed databases.
• Experience building and running CI/CD pipelines (such as GitHub Actions), deploying to production, and handling releases and rollbacks safely.
• Working knowledge of secure coding, authentication and authorization (OAuth, JWT), secrets management, encryption and common vulnerabilities (OWASP Top 10).
• Ownership mindset and ability to deliver without highly detailed requirements.
• Comfort managing multiple priorities or workstreams in a fast-moving consultancy or product environment.
• Proficiency with GitHub and modern developer tooling.
• Strong written and verbal communication with technical and non-technical stakeholders.
• Active daily use of AI tools for planning, implementation, debugging, testing and documentation.
• Ability to critically evaluate AI-generated output and hold a high standard for correctness and reliability.

Nice to have

• Experience shipping AI features to production users.
• Familiarity with frameworks such as LangChain, vector databases or LLM evaluation.
• Experience working in startup, consultancy or fast-iteration environments.

Details

• 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 of at least 100 Mbps; laptop with Intel Core i5 or Ryzen 5 or higher; minimum 8 GB RAM and 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: USD 12,500 per year base salary plus performance bonus; remote work with earned flexibility; professional development opportunities; paid time off.