6.534 Ofertas de Ai Development en Argentina

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.

• 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.

• 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.

• 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

• 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

Want to help us help others? We're hiring
GoFundMe is the world's most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us

Every day, millions turn to us in their most vulnerable moments, and our technology must help them succeed—at scale. We're seeking a
Senior Agentic AI Developer
to build production-grade autonomous agents and orchestration systems that reshape the future of fundraising, campaign optimization, and donor engagement. We're looking for a senior technical member who can build LLM-based autonomous agents and multi agent orchestration systems with advanced reasoning, multi-step planning, and real-time orchestration capabilities.

This role is foundational. You'll design, deploy, and scale intelligent AI agents that reason, plan, and act in dynamic fundraising ecosystems. You'll enable 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

• Agent Architecture & Planning

• 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

Global Data Privacy Notice For Job Candidates And Applicants
Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

Learn More About GoFundMe
We're proud to partner with , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about 's activities and impact in their FY '24 annual report.

Our annual "Year in Help" report reflects our community's impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

About The Client:

We're an operations consulting firm that modernizes SMBs by optimizing their software stack, automating workflows, and deploying practical AI (agents, RAG, copilots). You'll work across diverse client environments and ship measurable outcomes fast.

Role Summary

Own the design, build, and maintenance of production-grade automations and AI solutions across mixed client stacks. You'll combine hands-on Python engineering with n8n orchestration, the Microsoft ecosystem, and direct client collaboration.

What You'll Do

• Automations & Integrations: Design n8n (primary) workflows; integrate CRMs/PM tools/ERPs/accounting; implement retries, idempotency, alerts, and runbooks.
• AI Solutions: Build agents, RAG search, document QA, summarization, and routing; evaluate prompts/tools; add guardrails and usage analytics.
• Python Services: Ship FastAPI microservices, background jobs, schedulers; package/version; instrument logs/metrics/traces; CI/CD.
• Data & Analytics: Model clean data sets; support Power BI dashboards and scheduled refreshes.
• Security & Governance: Manage secrets, least-privilege, PII handling; document data flows.
• Consulting & Enablement: Join client calls, translate business needs to technical plans, communicate trade-offs; deliver SOPs and short how-to videos.

Success Metrics (KPIs)

• Brief → production cycle time
• Hours/$ saved per automation (tracked)
• Defect rate/MTTR and alert coverage
• Adoption (active users, throughput) + sponsor NPS
• Documentation completeness (diagram + SOP per deliverable)

Requirements

• 4+ years with Python (FastAPI/Flask, asyncio, typing, packaging).
• Production n8n (or Make/Zapier/Power Automate) with error handling & observability.
• AI engineering: function/tool use, embeddings/vector stores, evaluation basics; OpenAI/Azure OpenAI; one agent framework (LangChain/LlamaIndex/AutoGen/CrewAI).
• APIs & Data: REST/GraphQL, OAuth2, pagination/rate limits; SQL (Postgres/MySQL); ETL patterns.
• Cloud & DevOps: Docker, GitHub Actions, IaC basics; deploy to Azure or AWS.
• Microsoft ecosystem familiarity (Power Automate, SharePoint/OneDrive, Teams, Power BI).
• Client-facing communication and crisp technical writing.

Nice to Have:

• Twilio/O365/Gmail APIs; document parsing
• OCR; pgvector/Pinecone; basic React.

Job Type: Part-time

Pay: $22,108.50 per hour

Expected hours: 20 per week

Experience:

• Python: 4 years (Required)
• AI Engineering: 1 year (Required)
• Cloud & DevOps: 1 year (Required)
• APIs & Data: 1 year (Required)
• Microsoft: 1 year (Required)

Language:

• English (Required)

Work Location: Remote

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.

• 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.

• 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.

• 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

• 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

OZ Digital LLC

Type: Full-time

Location Type: Remote

Location: Argentina

Salary: Not disclosed

OZ Digital is looking for an AI Developer with experience in generative artificial intelligence to join our innovative team. In this role, you will focus on designing, developing, and implementing advanced solutions using generative models, particularly leveraging Azure OpenAI to solve complex business problems.

As an AI Developer at OZ Digital, you will be responsible for creating and implementing web solutions based on generative AI, working with models such as GPT-4o, Llama, and Phi3. You will work closely with multidisciplinary teams to define requirements, analyze data, and develop solutions that utilize orchestrators like LangChain, Semantic Kernel, or LlamaIndex, using the RAG (retrieval-augmented generation) pattern to optimize the accuracy of generative responses.

1. Generative Model Implementation: Create and implement solutions using LangChain, Semantic Kernel, LlamaIndex, and other advanced tools.
2. Cloud Integration: Deploy and optimize solutions on Azure OpenAI, using services such as Prompt Flow, Azure Functions, API Management, and Azure Web App to ensure scalability and efficiency.
3. RAG Application: Implement retrieval-augmented generation (RAG) patterns using AI Search, CosmosDB, or Azure SQL to enhance the accuracy and relevance of generative models.
4. Interdisciplinary Collaboration: Collaborate with product, data, and technology teams to translate business challenges into AI-driven solutions.
5. Model Evaluation and Improvement: Test, optimize, and continuously refine generative models in production.

OZ Digital LLC

Type: Full-time

Location Type: Remote

Location: Argentina

Salary: Not disclosed

OZ Digital is looking for an AI Developer with experience in generative artificial intelligence to join our innovative team. In this role, you will focus on designing, developing, and implementing advanced solutions using generative models, particularly leveraging Azure OpenAI to solve complex business problems.

As an AI Developer at OZ Digital, you will be responsible for creating and implementing web solutions based on generative AI, working with models such as GPT-4o, Llama, and Phi3. You will work closely with multidisciplinary teams to define requirements, analyze data, and develop solutions that utilize orchestrators like LangChain, Semantic Kernel, or LlamaIndex, using the RAG (retrieval-augmented generation) pattern to optimize the accuracy of generative responses.

1. Generative Model Implementation: Create and implement solutions using LangChain, Semantic Kernel, LlamaIndex, and other advanced tools.
2. Cloud Integration: Deploy and optimize solutions on Azure OpenAI, using services such as Prompt Flow, Azure Functions, API Management, and Azure Web App to ensure scalability and efficiency.
3. RAG Application: Implement retrieval-augmented generation (RAG) patterns using AI Search, CosmosDB, or Azure SQL to enhance the accuracy and relevance of generative models.
4. Interdisciplinary Collaboration: Collaborate with product, data, and technology teams to translate business challenges into AI-driven solutions.
5. Model Evaluation and Improvement: Test, optimize, and continuously refine generative models in production.

Overview

GoFundMe is seeking a Senior Agentic AI Developer to build production-grade autonomous agents and orchestration systems that reshape fundraising, campaign optimization, and donor engagement. 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 and candidates located in Buenos Aires, Argentina will be considered.

• 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, memory architectures, and vector/graph database implementations for maintaining context across multi-turn conversations and long-running campaigns.
• 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 agent 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.

• 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, 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.

• 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

• 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 : Hybrid work support, family planning, generous parental leave, flexible time-off policies, and mental health resources.
• Growth Opportunities : Learning, development, and recognition programs to help you thrive.
• Commitment to DEI : Contribute to diversity, equity, and inclusion through initiatives and employee resource groups.
• Community Engagement : Volunteer and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose.

GoFundMe is an equal opportunity employer and does 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 interview, please contact

This description does not include the application form fields or legal notices beyond what is necessary to understand the role; for actual submission, please follow the official application process on the GoFundMe careers site.

Overview

GoFundMe is seeking a Senior Agentic AI Developer to build production-grade autonomous agents and orchestration systems that reshape fundraising, campaign optimization, and donor engagement. 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 and candidates located in Buenos Aires, Argentina will be considered.

• 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, memory architectures, and vector/graph database implementations for maintaining context across multi-turn conversations and long-running campaigns.
• 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 agent 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.

• 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, 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.

• 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

• 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 : Hybrid work support, family planning, generous parental leave, flexible time-off policies, and mental health resources.
• Growth Opportunities : Learning, development, and recognition programs to help you thrive.
• Commitment to DEI : Contribute to diversity, equity, and inclusion through initiatives and employee resource groups.
• Community Engagement : Volunteer and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose.

GoFundMe is an equal opportunity employer and does 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 interview, please contact

This description does not include the application form fields or legal notices beyond what is necessary to understand the role; for actual submission, please follow the official application process on the GoFundMe careers site.