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Ajaia | AI Consultancy

AI Engineer

Ajaia | AI Consultancy

. Own AI-enabled features end to end for client delivery systems, internal platforms, and products.

Posted 11/10/2026full-timeRemote • New York • United StatesJuniorMid-Level💰 $12,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and integrating AI capabilities into production systems, with a strong focus on frontend and backend development, API design, and cloud infrastructure management. Proficient in secure coding practices and CI/CD pipeline management to ensure reliable software delivery.

Highest-signal resume keywords
AI Capabilities IntegrationFrontend Framework Experience (React/Next.js)Backend Stack Proficiency (Python/FastAPI/Node.js)CI/CD Pipeline Management (GitHub Actions)Secure Coding Practices (OAuth/JWT)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentAPI DesignDatabase OperationsCloud Services (AWS/Google Cloud Platform)Containerization (Docker)Relational Databases (PostgreSQL/MySQL)AI Tools for Coding SupportCI/CD PipelinesSecure AuthenticationTechnical Documentation
Soft Skills
Communication with StakeholdersOwnership MindsetRisk IdentificationProblem-SolvingMentoring Junior Engineers
Tools & Technologies
GitHubCI/CD ToolsAI ToolsDevelopment EnvironmentsWebcamMicrophone
Industry Keywords
AI-Enabled FeaturesLarge Language ModelsContinuous IterationCommon Vulnerabilities (OWASP Top 10)Fast-Moving Consultancy

Tech Stack

Tools & technologies
AWSCloudDockerGoogle Cloud PlatformJavaScriptMacOSMySQLNext.jsNode.jsPostgresPythonReact

About the role

Key responsibilities & impact
  • 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 infrastructure, cloud services, environments, and configuration.
  • Own deployments, CI/CD pipelines, releases, rollbacks, and environment management.
  • Apply security best practices, including secure authentication, secrets management, access control, and protection against common vulnerabilities.
  • Use AI tools 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 peer code and help junior engineers with patterns and practices.
  • Keep systems maintainable, secure, observable, and ready for continuous iteration.

Requirements

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.
  • 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.
  • Windows 10 or macOS (latest version).
  • 1080p webcam and working microphone.
  • Backup solutions for power and internet interruptions.

Benefits

Comp & perks
  • Performance Bonus
  • Remote work with earned flexibility.
  • Professional development opportunities.
  • Paid time off.