Senior AI Engineer, Agentic Systems and MCP

Niuro is hiring a Senior AI Engineer for a company turning complex regulatory and safety data into AI-native products. You will design, build and evaluate agentic and LLM systems, including customer-facing assistants and document intelligence pipelines that process billions of tokens.

You will:

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

You bring:

• 6+ years in software engineering, shipping production ML and AI systems.
• Deep Python proficiency.
• Hands-on orchestration of coding agents such as Claude Code or Codex in real workflows.
• Strong knowledge of MCP, tool calls and agent-to-agent protocols.
• Experience with open-weight models (Qwen, Llama, Mistral) and platforms such as AWS Bedrock, Vertex AI or Azure OpenAI.
• C1 English.

Nice to have: OCR, AWS Textract, SageMaker, Spanish or Portuguese.

Remote from Latin America, full-time contractor.

Location: Remote - Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, Venezuela

Skills required for this job:

• AI agent orchestration
• AI agents
• AWS
• Agentic AI
• Claude
• Large Language Models
• Model Context Protocol (MCP)
• Python