Remote Senior AI Engineer: Multi-Agent & MCP Orchestration

Findjobit; EUA; Teletrabalho; USD 150 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% remote

Long-term contract

Resumo da oferta

Niuro is hiring a Senior AI Engineer for an AI-native company building agentic workflows and large-scale document intelligence for regulated industries. You will design multi-agent systems, MCP integrations and the evaluation pipelines that keep them reliable.

Lead the design and orchestration of production ML/AI workflows, evaluate open-weight models, and contribute to document intelligence pipelines across OCR, classification and NER in a fully remote, long-term contract setting.

Qualificações

• 6+ years in software engineering, shipping production ML/AI systems.
• Deep Python proficiency.
• Hands-on orchestration of coding agents in real workflows.
• Strong knowledge of MCP, tool calls and agent-to-agent protocols.
• LLM evaluation pipelines in production.
• Open-weight models (Qwen, Llama, Mistral), MoE, and platforms like AWS Bedrock, Vertex AI or Azure OpenAI.
• C1 English.

Responsabilidades

• Design and orchestrate multi-agent workflows: planning, implementation and validation agents.
• Architect MCP integrations and modularize async, heavy workloads.
• Run spec-driven and eval-driven development with constraint files that prevent agent drift.
• Build LLM evaluation pipelines: golden datasets, LLM-as-judge, precision and recall tracking.
• Evaluate, fine-tune and deploy open-weight models across hosting providers.
• Contribute to document intelligence pipelines: OCR, classification and NER.

Conhecimentos

Python

Agent orchestration

MCP

LLM evaluation

Open-weight models

English (C1)

Ferramentas

Claude Code

Codex

AWS Bedrock

Vertex AI

Azure OpenAI

Descrição da oferta de emprego

Niuro is hiring a Senior AI Engineer for an AI-native company building agentic workflows and large-scale document intelligence for regulated industries. You will design multi-agent systems, MCP integrations and the evaluation pipelines that keep them reliable.

Lead the design and orchestration of production ML/AI workflows, evaluate open-weight models, and contribute to document intelligence pipelines across OCR, classification and NER in a fully remote, long-term contract setting.