Senior AI Engineer

🔥 14 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $15k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 21 days.
• 31 open roles for a team of 21.

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Ajaia | AI Consultancy

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Ajaia is an enterprise AI consulting and implementation firm that helps organizations move from AI experimentation to production. The company provides AI strategy and advisory, workforce training and enablement, workflow and process optimization, custom AI development, AI engineering and automation (including agents, RPA, and cross-system integrations), and secure enterprise deployments across regulated industries such as healthcare, financial services, education, and government. Ajaia also offers products like an AI due-diligence tool for M&A, multi-model AI platforms, and industry-focused AI applications, emphasizing responsible AI governance, private deployments, and measurable ROI.

📋 Description

• 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

• 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

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

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