Remote LLM Engineer - AI Agent Architect

Gina's Tech Jobs

United States

À distance

USD 120 000 - 180 000

Plein temps

Il y a 2 jours
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Résumé du poste

Gina's Tech Jobs seeks an engineer to build and deploy LLM-powered applications and AI agent workflows. You will design systems for reasoning, planning, memory, tool use and multi-step execution, and create orchestration pipelines that translate model outputs into safe, observable actions.

The role emphasizes delivering production-grade code, strong backend services, and scalable, observable AI workflows to drive measurable user impact.

Qualifications

  • AI experience required with strong software engineering fundamentals.
  • Hands-on experience with LLMs, generative AI, or agent-based systems.
  • Ability to write clean, production-quality code and work across abstraction layers from model to product.
  • Proficient in Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models.
  • Familiar with agent frameworks, orchestration systems, vector databases, and retrieval systems.
  • Experience with backend services, APIs, distributed systems, and PyTorch/JAX.

Responsabilités

  • Build and ship LLM-powered applications and AI agent workflows.
  • Design systems for reasoning, planning, memory, tool use and multi-step execution.
  • Build reliable orchestration pipelines turning probabilistic model outputs into observable, safe actions.
  • Outcomes: AI features reach production quickly and deliver measurable user impact.
  • LLM-powered workflows are reliable, scalable, observable, and maintainable.

Connaissances

AI/ML fundamentals
Production-grade coding
Python programming
LLM/APIs
Agent frameworks
Distributed systems
PyTorch/JAX

Outils

OpenAI-compatible APIs
Vector databases
Retrieval systems
PyTorch
JAX
Orchestration systems

Description du poste

Gina's Tech Jobs seeks an engineer to build and deploy LLM-powered applications and AI agent workflows. You will design systems for reasoning, planning, memory, tool use and multi-step execution, and create orchestration pipelines that translate model outputs into safe, observable actions.

The role emphasizes delivering production-grade code, strong backend services, and scalable, observable AI workflows to drive measurable user impact.

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