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Senior AI Solution Engineer

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Location:
Argentina , Buenos Aires

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

We are seeking a Senior AI Solutions Engineer to help us build end-to-end AI-powered fundraising solutions that connect millions of donors with causes they care about. You’ll design and integrate cutting-edge AI models into production web applications, creating intuitive interfaces that make fundraising more effective and accessible while supporting everything from medical emergencies to community initiatives.

Job Responsibility:

  • Design scalable system architectures for end-to-end AI-powered and AI-first features with microservices and event-driven patterns
  • Integrate AI/ML models into production applications for content optimization, donor matching, fraud detection, etc. using Python/Node.js backends
  • Build React/TypeScript frontends for fundraiser tools, donor dashboards, and Agentic AI systems with real-time streaming/WebSocket interactions
  • Develop AI-powered APIs and services implementing RESTful/GraphQL endpoints for AI-First systems with proper versioning and documentation
  • Ensure performance and security with load balancing, caching strategies, authentication, and monitoring for 100M+ user scale
  • Support AI feature rollouts with A/B testing frameworks, feature flags, gradual rollouts, and model serving patterns
  • Implement ethical AI practices including bias detection, explainable AI features, and transparent decision-making systems
  • Collaborate cross-functionally with product, UX/UI, Incubation, Data Science, and ML teams while establishing feedback loops and mentoring junior engineers

Requirements:

  • 5+ years full-stack development building and deploying user-facing web applications at scale
  • 3+ years AI/ML integration experience with production models, ML APIs, or AI-powered features
  • Strong React/TypeScript proficiency including modern patterns, hooks, state management, and large codebase experience
  • Backend expertise in Python or Node.js with REST APIs, data processing, and database integration
  • AI SDK experience with OpenAI, Anthropic, Google Cloud AI, LiteLLM, or AWS AI services for LLM integration
  • Large-scale distributed systems experience with Kubernetes, Docker, and serverless architectures
  • Enterprise RAG systems and A2A/MCP protocol implementation for agent interoperability
  • Database expertise with PostgreSQL, NoSQL, data modeling, and large dataset management
  • Event-driven architectures using Kafka, RabbitMQ, or similar message queuing systems

Nice to have:

  • LLM/Generative AI experience (2+ years) with prompt engineering, fine-tuning, RAG systems, or conversational AI
  • Agentic AI frameworks including Google ADK, LangGraph, AutoGen, CrewAI, Pydantic AI
  • Next.js ecosystem expertise including SSR, API routes, and modern deployment platforms
  • Python ML libraries experience with pandas, scikit-learn, transformers, LangChain, or MLflow
  • Cloud platform experience with AI/ML services, containerization, and serverless architectures
  • Fintech or social impact background with payment systems, fraud detection, or social good technology
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:
January 13, 2026

Work Type:
Hybrid work
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