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aws python generative ai multi-agent systems llm📋 Description
- Design and implement production-grade multi-agent systems.
- Build agent workflows with context retrieval, reasoning, tool execution, validation.
- Develop distributed services with observability and failure handling.
- Establish evaluation frameworks for multi-step reasoning accuracy and reliability.
- Implement memory management, context handling, and agent state persistence.
- Collaborate with product, design, and engineering to translate requirements into architectures.
🎯 Requirements
- 3+ years shipping Generative AI and 6+ years ML in production.
- Design and deploy multi-agent systems.
- Expert in multimodal LLMs, knowledge graphs, and data synthesis.
- LLM fine-tuning, reinforcement learning, and agent memory.
- Proficient in Python and modern AI frameworks.
- Experience with distributed systems, cloud (AWS/GCP/Azure), and containers.
- Experience implementing monitoring, evaluation, and reliability safeguards.
- Strong systems thinking; capable of coordinating multi-component architectures.
🎁 Benefits
- Equity stake as part of compensation.
- Health, dental, and vision coverage.
- Retirement benefits and flexible PTO.
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