AI Engineer
United States
Full Time
2 hours ago
H1B Sponsor
Key skills
PythonAgent frameworksLLM capabilitiesAgent protocolsAI-native developmentSelf-directedFast learnerThrives in ambiguityMulti-agent coordinationPayment systemsDeveloper toolsOpen-source contributionsGoTypeScriptFrontend developmentAILLMClaudeLangChain
About this role
AIsa is a unified resource and payment layer for AI agents, providing seamless access to models, data, and payments. The AI Engineer will design and build autonomous agents and multi-agent systems, focusing on dynamic routing across LLM providers and architecting the intelligence layer for AIsa's platform.
Responsibilities:
- Design and build autonomous agents and agent swarms that operate on top of AIsa's resource layer
- Implement dynamic LLM routing: cost-aware, latency-aware, capability-aware model selection at runtime
- Build agent-native payment flows where agents autonomously manage budgets, authorize spend, and settle transactions
- Architect dynamic API composition so agents can discover, chain, and call external services without hardcoded integrations
- Optimize end-to-end agent performance across multi-step reasoning, tool use, and orchestration
- Push forward our integration with agent protocols (MCP, A2A, Skills)
Requirements:
- Strong Python skills
- Hands-on experience building with agent frameworks (LangChain, CrewAI, MetaGPT, or similar)
- Deep understanding of LLM capabilities, prompt engineering, and multi-model orchestration
- Familiarity with agent protocols and standards (MCP, A2A, Skills)
- Comfortable reasoning about cost/performance tradeoffs in LLM workloads
- AI-native development workflow (Cursor, Claude Code, etc.)
- Self-directed, fast learner, thrives in ambiguity
- Experience with multi-agent coordination or swarm architectures
- Background in payment systems or autonomous transaction flows
- Experience building developer tools or SDKs
- Open-source contributions in the AI/agent space
- Familiarity with Go, TypeScript, or frontend development