Senior AI/ML Engineer (GenAI, AWS)

📋 Description

• Work on production GenAI systems in customer environments (cloud-native data, LLM-based, agentic AI
• Build and optimize RAG systems for production use cases.
• Write production code across AI, backend services, and data pipelines.
• Integrate AI components into backend services and RESTful APIs.
• Deploy to production on AWS (GCP/Azure where needed); implement LLMOps and AgentOps practices.
• Collaborate with FDE/FDX in a senior pod; own technical decisions and evaluation.

🎯 Requirements

• Mindset: proactive, clear communication, comfortable with ambiguity; strong English (B2+).
• Technical depth: 5+ years in software or ML engineering with production systems; solid AI/ML
• Experience shipping production LLM applications and agentic workflows (not demos/POCs).
• Experience with agentic orchestration, multi-step workflows, tool use, state management, and
• Experience with LLM APIs (Anthropic, AWS Bedrock, OpenAI) and agent frameworks; experience
• Full-stack mindset: Python and/or TypeScript; comfortable across AI, backend, and cloud infra

🎁 Benefits

• The chance to shape AI adoption across LATAM, Europe, and North America.
• Forward-deployed teams with senior mentors; tooling and framework development opportunity.
• Remote-friendly culture; access to training, certifications, conferences.
• Career growth opportunities; premium AI tools subscriptions.
• Private medical insurance or budget for medical needs; paid sick leave, vacation, and holidays.
• Equipment and full support for productive work.