2 months ago
Buenos Aires, ArgentinaEntry Level
Responsibilities
- Prototype LLM-based autonomous agents with advanced reasoning, planning, and task decomposition capabilities.
- Explore multi-agent orchestration using LangGraph, CrewAI, and Google ADK.
- Implement persistent agent memory architectures using tools such as Pinecone, ChromaDB, and Weaviate.
- Integrate external APIs, internal tools, and structured data into agent planning and execution flows.
- Build scalable evaluation pipelines with human-in-the-loop and automated testing frameworks.
- Contribute to safety, governance, transparency, accountability, and observability tooling for agent behavior.
Requirements
- Currently pursuing an M.S. or Ph.D. in Computer Science, Artificial Intelligence, NLP, Machine Learning, or a related discipline.
- Hands-on experience with LLMs and/or agent frameworks such as LangChain, AutoGen, or CrewAI.
- Proficiency in Python and familiarity with modern AI tools and APIs.
- Understanding of prompt engineering, tool use, and agent architecture patterns.
- Strong written and verbal communication skills, collaboration abilities, and relationship-building skills.
- Experience with A2A protocols such as Model Context Protocol, cloud-native environments, Docker/Kubernetes, microservice design, reinforcement learning, agent observability, ethical AI frameworks, or open-source agentic tools is preferred.
Benefits
- Competitive pay and comprehensive healthcare benefits.
- Financial assistance for hybrid work and family planning, generous parental leave, flexible time off, and mental health and wellness resources.
- Learning, development, recognition, diversity and inclusion, employee resource group, and volunteering programs.
- The program runs from March 2027 through August 2027 in Buenos Aires, with onsite work expected three days per week.
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