Senior AI Engineer
New
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AjaiaAI engineering
United States, Eastern Time hours: Monday to Friday, 9:00 AM to 5:00 PM ET, including holidays.Full-TimeSenior
SalaryUSD 15,000 per year base salary + Performance Bonus
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Job Details
- Experience
- 5+ years of hands-on experience building and shipping software in professional environments.
- Required Skills
- AWSNode.jsPythonGCPFastAPINext.jsReactTerraform
Requirements
- Have 5+ years of hands-on experience building and shipping software in professional environments.
- Bring deep experience with a modern frontend framework such as React or Next.js and a backend stack such as Python/FastAPI or Node.js.
- Have strong experience with system design, APIs, and relational databases.
- Have shipped LLM-powered systems to production, including RAG, agents, tool use, evaluation, and guardrails.
- Have deep experience designing and running production infrastructure on AWS or Google Cloud Platform, including containers, networking, scaling, monitoring, and infrastructure as code such as Terraform.
- Have owned CI/CD pipelines and release processes, including automated testing, staged environments, zero-downtime deployments, and rollback plans.
- Have a 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.
- Have owned production systems from architecture through launch and ongoing operation.
- Have experience mentoring engineers and leading code reviews.
- Be proficient with GitHub and modern developer tooling.
- Use AI tools daily across planning, implementation, debugging, testing, and documentation, and critically evaluate AI-generated output.
- Work Monday to Friday, 9:00 AM to 5:00 PM ET, including holidays.
- Have a reliable wired internet connection of at least 100 Mbps and the listed computer, operating system, webcam, microphone, and backup power and internet setup.
Responsibilities
- 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 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 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 security reviews.
- Set engineering standards for code quality, testing, security, observability, and reusable patterns.
- Mentor engineers through code reviews, pairing, and technical guidance.
- Work with delivery leads and clients to scope work, estimate effort, and identify technical risks.
- Own production reliability through monitoring, incident response, and continuous improvement.
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