Senior Agentic AI Developer

GoFundMe; Buenos Aires; Híbrido; ARS 108.985.000 - 136.233.000; Jornada completa

Descripción de la vacante

A leading crowdfunding platform is seeking a Senior Agentic AI Developer in Buenos Aires to create LLM-based autonomous agents and orchestration systems. This hybrid position involves designing intelligent AI agents for dynamic fundraising ecosystems. The ideal candidate has 6+ years in software engineering and deep expertise in LLM frameworks. Enjoy competitive benefits and a collaborative team environment.

Servicios

Competitive pay

Comprehensive healthcare benefits

Financial assistance for hybrid work

Generous parental leave

Flexible time-off policies

Formación

• 6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems.
• Deep expertise in LLM agent frameworks.
• Strong Python/TypeScript skills and experience in microservices.

Responsabilidades

• Design and implement LLM-based autonomous agents.
• Engineer context- and memory-rich agents.
• Build production-scale orchestration frameworks.

Conocimientos

Software engineering

Building production-grade AI/ML systems

Python

TypeScript

Microservices

Distributed infrastructure

LLM agent frameworks

Cloud-native infrastructure

Herramientas

Docker

Kubernetes

AWS

GCP

Pinecone

ChromaDB

Neo4j

Descripción del empleo

Overview

GoFundMe is hiring a Senior Agentic AI Developer to build production-grade autonomous agents and orchestration systems that reshape fundraising, campaign optimization, and donor engagement. The role focuses on creating LLM-based autonomous agents and multi-agent orchestration systems with advanced reasoning, multi-step planning, and real-time orchestration capabilities. You will design, deploy, and scale intelligent AI agents that reason, plan, and act in dynamic fundraising ecosystems, enabling multi-agent collaboration, long-term memory, and cross-agent communication in production environments serving millions of users.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• 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.
• Multi-Agent Orchestration
• 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.
• Infrastructure & Deployment
• 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
• Agent Memory & Tooling Systems
• 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.
• Evaluation & Governance
• 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.

You

• 6+ years in software engineering, with 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.

Preferred

• 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

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [e-mail].