Senior AI Engineer

Overview

Lead the technical build of AI systems across client engagements and internal products, owning architecture, infrastructure, deployment, and security while mentoring engineers as a senior individual contributor.

What you'll do

• 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: LLM integrations, RAG pipelines, agent and automation workflows, evaluation, and guardrails.
• Design and own cloud infrastructure: environments, networking, scaling, cost, and infrastructure as code.
• Own the deployment process across projects: CI/CD pipelines, release strategy, zero-downtime deploys, and rollbacks.
• Lead application and infrastructure security: threat modeling, access control, secrets management, data protection, and security reviews for client systems.
• 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 flag technical risks early.
• Define how the team uses AI tools in development, and lead by example in daily use.
• Own production reliability: monitoring, incident response, and continuous improvement.

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 (RAG, agents, tool use, evaluation, and guardrails).
• Deep experience designing and running production infrastructure on AWS or Google Cloud Platform, including containers (Docker, Kubernetes or Cloud Run), 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 and least-privilege access, secrets management, encryption, OWASP Top 10, security reviews, and compliance-minded delivery for client data.
• A 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 hold the team to a high standard for correctness and reliability.

Nice to have

• Experience with LLM evaluation frameworks, vector databases, and cost and latency tuning for AI systems.
• Familiarity with frameworks such as LangChain or autonomous agent tooling.
• Client-facing experience in a consultancy, startup, or fast-iteration environment.

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; Windows 10 or macOS (latest); 1080p webcam and working microphone; backup solutions for power and internet interruptions.
• Compensation: USD 15,000 per year base salary plus performance bonus.