Added
3 minutes ago
Type
Full time
Salary
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πŸ“‹ Description

  • Define AI system architecture and lead design across LLM applications, agentic systems, retrieval
  • Drive RAG and context-engineering strategy, including hybrid retrieval, reranking, chunking, and
  • Lead multi-agent orchestration design using frameworks such as LangGraph, Amazon Bedrock Agents, or
  • Own model serving and inference architecture on AWS, optimizing latency, throughput, and cost with
  • Define LLMOps and MLOps standards across engagements, including prompt versioning, eval pipelines
  • Drive evaluation, guardrails, and observability strategy, establishing offline and online eval

🎯 Requirements

  • 7+ years of professional software engineering experience, with at least 3 years in AI/ML
  • Deep expertise in LLM and agentic application architecture, including multi-agent orchestration and
  • Strong experience designing production RAG and retrieval systems, including hybrid retrieval
  • Strong experience with model serving and inference optimization on AWS, including latency
  • Deep understanding of LLMOps and MLOps, including eval pipelines, prompt versioning, CI/CD, and
  • Demonstrated experience with AI evaluation, guardrails, and tracing tooling

🎁 Benefits

  • Paid time off
  • Medical/dental/vision insurance
  • 401(k)

πŸ›ƒ Visa sponsorship

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