Senior AI Engineer (LLMs, Python, AWS) · Remote

Findjobit

United States

A distancia

USD 120.000 - 180.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Niuro is hiring a Senior AI Engineer for a US tax software company. This is a full‑time contractor role, 100% remote from Latin America, paid in USD.

You will design and scale AI systems, debug production LLMs, and expose capabilities via REST APIs and backend services, with deployment on AWS or Azure.

Must‑have: 5+ years in software/AI engineering; strong Python with FastAPI; production experience with OpenAI/Azure OpenAI; APIs, microservices, CI/CD and IaC; C1 English.

Formación

  • 5+ years of software or AI engineering experience.
  • Strong Python with FastAPI or an equivalent framework.
  • Production experience with LLM platforms (OpenAI, Anthropic, Bedrock or Azure OpenAI).
  • APIs, microservices, CI/CD and infrastructure as code.
  • Hands-on experience debugging, stabilizing and scaling AI systems in production.
  • Fluent English (C1) written and spoken.

Responsabilidades

  • Design, build and improve AI systems, including agent-based workflows.
  • Debug, refactor and stabilize LLM systems in production.
  • Integrate AI capabilities through REST APIs and backend services.
  • Deploy, monitor and operate AI services on AWS or Azure with CI/CD and IaC.
  • Collaborate with engineering, product and leadership to manage technical debt.

Conocimientos

5+ years exp
Python
LLM platforms
APIs
Microservices
CI/CD
Infrastructure as Code
Production debugging
English proficiency

Herramientas

FastAPI
C1 English
Docker
Cloud platforms

Descripción del empleo

At Niuro, we're hiring a Senior AI Engineer for a US tax software company. Full-time contractor role, 100% remote from Latin America, paid in USD.

What you'll do
  • Design, build and improve AI systems, including agent-based workflows

  • Debug, refactor and stabilize LLM systems already running in production

  • Integrate AI capabilities through REST APIs and backend services

  • Deploy, monitor and operate AI services on AWS or Azure with CI/CD and infrastructure as code

  • Work with engineering, product and leadership to pay down technical debt and explain trade-offs clearly

Must-have
  • 5+ years in software or AI engineering

  • Strong Python with FastAPI or an equivalent framework

  • Production experience with LLM platforms (OpenAI, Anthropic, Amazon Bedrock or Azure OpenAI)

  • APIs, microservices, CI/CD and infrastructure as code

  • Hands-on experience debugging, stabilizing and scaling AI systems in production

  • C1 English, written and spoken

Nice to have
  • C# / .NET

  • LangGraph, LlamaIndex, LangChain or MCP

  • Docker, Kubernetes or ECS; CloudWatch, Prometheus or Grafana

  • Embeddings, semantic search and vector databases

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