Senior AI Engineer

Ajaia | AI Consultancy

. Lead the design and delivery of AI-enabled systems for client solutions, internal platforms, and products .

Posted 11/10/2026full-timeRemote • New York • United StatesSenior💰 $15,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering AI-enabled systems, with a strong focus on cloud infrastructure, application security, and CI/CD processes. Proven ability to mentor engineers and lead technical projects from architecture to production.

Highest-signal resume keywords

AI-Enabled Systems DesignCloud Infrastructure ManagementCI/CD Pipeline OwnershipApplication Security ExpertiseFrontend Framework Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ReactNext.jsPythonFastAPINode.jsAWSGoogle Cloud PlatformDockerKubernetesTerraform

Soft Skills

MentoringCommunicationJudgmentCollaborationTechnical Guidance

Tools & Technologies

GitHubCI/CD ToolsMonitoring ToolsAI ToolsDevelopment Tooling

Industry Keywords

LLM IntegrationsRAG PipelinesInfrastructure as CodeApplication SecurityData Protection

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMacOSNext.jsNode.jsPythonReactTerraform

About the role

Key responsibilities & impact

Lead the design and delivery of AI-enabled systems for client solutions, internal platforms, and products
Make architecture decisions across frontend, backend, APIs, data models, AI components, cloud infrastructure, and deployment
Design and ship production AI capabilities, including LLM integrations, RAG pipelines, agent and automation workflows, evaluation, and guardrails
Design and own cloud infrastructure, including environments, networking, scaling, cost, and infrastructure as code
Own deployment processes across projects, including CI/CD pipelines, release strategy, zero-downtime deployments, and rollbacks
Lead application and infrastructure security, including threat modeling, access control, secrets management, data protection, and client-system security reviews
Set and enforce standards for code quality, testing, security, observability, and reusable engineering patterns
Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance
Work with delivery leads and clients to scope work, estimate effort, and identify technical risks
Define team usage of AI tools and lead by example in daily workflows
Own production reliability through monitoring, incident response, and continuous improvement

Requirements

What you’ll need

5+ years of hands-on experience building and shipping software in professional environments
Deep experience with a modern frontend framework such as React or Next.js and a backend stack such as Python/FastAPI or Node.js
Strong experience with system design, APIs, and relational databases
Proven experience shipping LLM-powered systems to production, including RAG, agents, tool use, evaluation, and guardrails
Deep experience designing and running production infrastructure on AWS or Google Cloud Platform
Experience with containers including Docker, Kubernetes, or Cloud Run
Experience with networking, scaling, monitoring, and infrastructure as code such as Terraform
Proven ownership of CI/CD pipelines and release processes, including automated testing, staged environments, zero-downtime deployments, and rollback plans
Strong command of application and cloud security, including IAM, least-privilege access, secrets management, encryption, OWASP Top 10, security reviews, and compliance-minded delivery for client data
Track record of owning production systems from architecture to launch and beyond
Experience mentoring engineers and leading code reviews
Strong ownership and judgment when requirements are unclear and priorities shift
Proficiency with GitHub and modern developer tooling
Excellent written and verbal communication, including with clients and non-technical stakeholders
Advanced daily use of AI tools across planning, implementation, debugging, testing, and documentation
Ability to critically evaluate AI-generated output and ensure 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
Dual-monitor setup preferred

Benefits

Comp & perks

Performance Bonus
Remote work with earned flexibility
Professional development opportunities
Paid time off