Go Fund Me

1 month ago

Senior Agentic AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead the design and deployment of production-grade, autonomous AI agents and multi-agent orchestration systems for fundraising campaigns. Build LLM-based agents with advanced reasoning, planning, tool-use, long-term memory, and cross-agent communication in a scalable, cloud-native environment serving millions of users.

Location: Buenos Aires

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design and implement LLM-based autonomous agents that perform planning, reasoning, tool-use, and long-term task decomposition beyond simple responses
•Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
•Build production-scale orchestration frameworks to manage complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
•Enable agent-to-agent communication protocols using Model Context Protocol (MCP) for dynamic tool discovery and peer-to-peer task delegation
•Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)

Key Requirements

•6+ years in software engineering with 3+ years building production-grade AI/ML systems
•Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
•Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
•Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
•Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines

Experience:6+ yearsFundraisingFintechNonprofit

Skills:PythonTypeScriptDockerKubernetesRESTful APIsCloudMicroservicesAI/MLLangChainLangGraphPydantic AICrewAIPineconeWeaviateChromaDBNeo4jGraphitiAWSGCP

Languages:English

Tech Stack:PythonTypeScriptDockerKubernetesAWSGCPLangGraphPydantic AICrewAILangChainPineconeWeaviateChromaDBNeo4jGraphitiRESTful APIs

Company Brief

Go Fund Me

Operates an online crowdfunding platform that enables individuals and organizations to raise money for personal causes, medical expenses, charities, and community projects through donations from the public.

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: San Diego, United States

Founded: 2010

Website LinkedIn

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Go Fund Me

1 month ago

Senior Agentic AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Buenos Aires

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design and implement LLM-based autonomous agents that perform planning, reasoning, tool-use, and long-term task decomposition beyond simple responses
•Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
•Build production-scale orchestration frameworks to manage complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
•Enable agent-to-agent communication protocols using Model Context Protocol (MCP) for dynamic tool discovery and peer-to-peer task delegation
•Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)

Key Requirements

•6+ years in software engineering with 3+ years building production-grade AI/ML systems
•Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
•Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
•Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
•Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines

Experience:6+ yearsFundraisingFintechNonprofit

Skills:PythonTypeScriptDockerKubernetesRESTful APIsCloudMicroservicesAI/MLLangChainLangGraphPydantic AICrewAIPineconeWeaviateChromaDBNeo4jGraphitiAWSGCP

Languages:English

Tech Stack:PythonTypeScriptDockerKubernetesAWSGCPLangGraphPydantic AICrewAILangChainPineconeWeaviateChromaDBNeo4jGraphitiRESTful APIs

Company Brief

Go Fund Me

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: San Diego, United States

Founded: 2010

Website LinkedIn