AI Engineer
Location: United States
Workplace: RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- Artificial IntelligenceContent managementGoPrompt Engineering
Requirements
- 5+ years of experience in backend software engineering, preferably in Go or similar systems languages.
- Shipped agentic LLM systems to production (not prototypes, not demos).
- Built real-time systems, distributed async queues, or performance-critical services.
- Deep understanding of prompt engineering, token budgeting, and context management.
- Strong intuition for when to use AI—and when not to.
- Thrive in small teams with high trust and high ownership.
Responsibilities
- Design and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines.
- Own and evolve core infrastructure like context memory, orchestration layers, and prompt routing systems.
- Design composable multimodal systems that dynamically execute workflows from unstructured inputs (text, audio, video, images).
- Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines.
- Collaborate with stakeholders to pressure-test workflows in the real world.
- Help us make clear decisions about when to use LLMs vs. traditional systems—and how to do both well.
- Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j
- Integrate and orchestrate LLM calls for document processing workflows
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