AI Solutions Engineer / AI Automation Engineer
Remote (LATAM) | Contractor | Advanced English Required
We are building an AI-native delivery practice focused on helping clients accelerate time-to-value and unlock operational leverage through AI-powered solutions.
We are looking for an AI Delivery Lead who can translate business challenges into scalable AI-powered systems and deliver measurable outcomes.
This is a client-facing, delivery-focused role, not a traditional developer position.
What You’ll Do
- Diagnose client workflows and identify AI and automation opportunities
- Translate business goals into technical roadmaps and AI solutions
- Design and deploy AI-native systems in production environments
- Build AI-powered workflows, copilots, and agent-based systems
- Architect scalable and secure multi-tenant solutions
- Define guardrails, evaluation loops, and AI risk mitigation strategies
- Integrate AI solutions into business systems via APIs
- Lead client engagements end-to-end and ensure timely delivery
- Communicate clearly with stakeholders and drive measurable ROI
What We’re Looking For
- 2+ years building and deploying AI-native systems in production
- Hands-on experience with LLMs such as OpenAI, Anthropic, or similar
- Active use of AI-native development tools such as Cursor, GitHub Copilot, or similar AI-assisted IDEs
- Experience designing scalable AI architectures including AI workflows, copilots, agent-based systems, RAG solutions, and API integrations into business systems
- Ability to design guardrails, evaluation loops, and mitigate AI risks (e.g., prompt injection)
- Good system architecture skills (scalable and multi-tenant design)
- Ability to translate business problems into practical, ROI-driven technical solutions
- Strong communication skills and client-facing experience
Requirements
- Advanced English (spoken and written) – client-facing role
- Availability for overlap with US time zones
- Must be based in LATAM
- Contractor engagement
Job Category: Admin Staff
Job Type: Full Time
Job Location: Remote