Agentic AI Engineer

📋 Description

• Design, build, and deploy agent-to-agent (A2A) communication architectures and workflows that
• Integrate advanced LLMs, both proprietary and open-source, with enterprise APIs. Use tool-calling
• Use advanced Retrieval-Augmented Generation (RAG) techniques. Implement strategies that connect
• Provision and manage robust cloud environments (AWS, Azure, GCP) using Terraform to support the
• Support modern DevOps practices. This includes creating CI/CD pipelines for automated testing
• Apply strict security and network fundamentals (VPC configurations, secure API gateways

🎯 Requirements

• Deep experience integrating, fine-tuning, and optimizing foundation models (e.g., OpenAI
• Proven success building multi-agent systems, inter-agent messaging pipelines, state management
• Hands-on experience with multi-agent orchestration frameworks such as LangGraph, LangChain
• Strong understanding of emerging AI interoperability standards, such as the Model Context Protocol
• Advanced proficiency in Python or TypeScript for backend orchestration, agent memory systems, and
• Practical knowledge of RAG patterns, vector databases, hybrid search architectures, and context

🎁 Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations
• Up to 40 hours each year to use toward volunteer projects you love