Senior Agentic AI Developer Jobs

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Location:
Argentina, Buenos Aires

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Build production-grade autonomous agents and orchestration systems that reshape the future of fundraising, campaign optimization, and donor engagement. Design, deploy, and scale intelligent AI agents that reason, plan, and act in dynamic fundraising ecosystems. Enable multi-agent collaboration, long-term memory, and cross-agent communication in production environments serving millions of users.

Job Responsibility:

Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems
Build and scale LLM evaluation pipelines, including human-in-the-loop and automated frameworks
Embed safety, fairness, transparency, and explainability into agent behavior. Implement real-time guardrails and auditing mechanisms

Requirements:

6+ years in software engineering
3+ years hands-on building production-grade AI/ML systems
Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices

Nice to have:

Experience in fundraising, fintech, or high-compliance domains involving sensitive data
Familiarity with agentic evaluation strategies and AI observability tooling
Contributions to open-source agent frameworks or AI developer communities
Experience integrating agent frameworks into real-world applications with measurable outcomes

What we offer:

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Additional Information:

Job Posted:
December 08, 2025

Work Type:

Hybrid work

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Senior Agentic AI Developer