Applied AI Engineer
Team: Engineering
Location: Argentina
Commitment: Full Time - Contract
Workplace Type: remote
You will work on:
- Atlas’ agentic AI layer
- Prompting and orchestration
- Multi-step, stateful agentic workflows
- Tool-calling architectures with clear guardrails
- Consent-aware long-term memory systems
- Persona extraction and structured context modeling
- Autonomous booking optimization logic
- Real-time monitoring and autonomous intervention systems
- Evaluation frameworks for model selection, quality, cost, safety, and determinism
We are looking for someone who has:
- A Master’s Degree (or higher) in Computer Science or related technical field
- 5+ years experience in building systems integrated with deep learning models and LLMs
- Shipped large-scale AI systems to real users
- Experience building agentic systems with tool calling
- The ability to translate research into reliable, safe, production-grade systems
- Experience in building evaluation frameworks and harnesses for agentic workflows
- Frontier language models (commercial and open-weight)
- Cloud and serverless infrastructure (AWS, Vercel, etc.)
- Durable workflow engines (Temporal, etc.)
- LLM observability/evaluation platforms (Braintrust, LangSmith, etc.)
- Persistent memory systems
- Relational and vector databases for durable state
- AI runtimes with streaming and tool execution
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