AI Engineer (Latam)
- Location not stated
- 10 months ago
- AI
- FinOps
- AI/ML
- AutoGen
- CrewAI
- LangChain
- OpenAI
- AWS
- Azure
- GCP
- Python
- MLOps
- CI/CD
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented<Job Title>to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.
AI Engineer (Agentic Framework & Cloud FinOps Domain)
Locations: LATAM
About the Role
CirrusLabs is expanding its advanced AI engineering capability within a cloud-first, infrastructure-heavy environment. We are seeking anAI Engineer with hands-on experience inAgentic AI frameworks (multimodal) and strong understanding ofCloud FinOps. This role will architect next-generation AI systems that automate cloud operations, optimize cost efficiency, and drive intelligence across enterprise-scale platforms.
Key Responsibilities
• Design, build, and deployagentic AI systems using multimodal models (text, images, telemetry, structured datasets).
• Develop AI-driven automation workflows that optimize cloud resources, utilization, and FinOps governance.
• Partner with FinOps, Cloud Engineering, and Infrastructure teams to translate consumption data into actionable AI recommendations.
• Build scalable inference pipelines and integrate AI agents into CirrusLabs' internal and client-facing platforms.
• Implement monitoring, observability, and AI governance controls to ensure reliable model performance.
• Evaluate new frameworks, LLM technologies, and agentic orchestration tools to continuously enhance AI capabilities.
• Collaborate with globally distributed engineering teams across US, LATAM, and India.
Required Qualifications
• 5+ years in AI/ML engineering with hands-on experience usingAgentic AI frameworks (AutoGen, CrewAI, LangChain Agents, OpenAI Agents, etc.).
• Expertise inmultimodal models and vector embeddings for real-time decisioning.
• Strong understanding ofCloud FinOps principles, including cost modeling, chargeback/showback, optimization strategies, and cloud economics.
• Experience deploying and scaling AI solutions inAWS, Azure, or GCP environments.
• Proficiency in Python and modern AI engineering tools.
• Demonstrated ability to build scalable pipelines and AI agent workflows.
Preferred Qualifications
• Experience supporting cloud platform operations or infrastructure teams.
• Background working with FinOps tools such as Cloudability, CloudHealth, or native cloud billing dashboards.
• Understanding of MLOps (feature stores, CI/CD for models, monitoring, governance).
AI Engineer (Latam) · CirrusLabs