Senior AI Engineer

Experience and Skills

• 6+ years of experience in software engineering, with a strong focus on shipping production-grade machine learning and AI systems.
• C1 English level or higher.
• Deep proficiency in Python, including advanced data structures and algorithms.
• Hands-on experience orchestrating coding agents (such as Claude Code or Codex) within real engineering workflows.
• Strong working knowledge of Model Context Protocol (MCP) mechanics, tool calls, and agent-to-agent (A2A) protocols.
• Experience building and maintaining LLM evaluation pipelines, including golden datasets, LLM-as-judge frameworks, and recall/precision tracking.
• Familiarity with open-weight model families (such as Qwen, Llama, or Mistral) and Mixture-of-Experts (MoE) architectures.
• Experience with major model-hosting and inference platforms, including AWS Bedrock, Vertex AI, Azure OpenAI, Cerebras, or Base10.
• Hands-on experience with Mixture of Experts, low latency.

Skills

• Python
• LLM
• Model Context Protocol
• Claude Code
• Codex
• Machine Learning
• AWS Bedrock
• Vertex AI
• Azure OpenAI
• Qwen
• Llama
• Mistral
• Mixture of Experts
• Claude
• AWS
• Azure
• OpenAI
• low latency

Projects

Niuro is hiring a Senior AI Engineer for an open position building customer-facing AI assistants and document intelligence pipelines for regulatory and safety data. Your scope includes multi-agent workflows, Model Context Protocol (MCP) integrations, and LLM evaluation to reduce hallucinations in production. This position requires deep technical expertise in orchestrating multi-agent workflows and the ability to explain complex architectures to domain experts.\n\nAs a senior engineer, you will champion engineering discipline through spec-driven and evaluation-driven development. You will reduce hallucination in production systems, deploy open-weight models, and build robust LLM evaluation pipelines. This is an opportunity to own critical AI infrastructure in a highly regulated domain, directly influencing how safety and compliance data is processed and utilized.

Key Responsibilities

• Design and orchestrate multi-agent workflows, managing planning, implementation, and independent validation agents.
• Architect MCP integrations and determine optimal modularization strategies for async, heavy-lifting workloads.
• Establish and maintain spec-driven (SDD) and eval-driven (EDD) development workflows, including written constraint files to prevent agent drift.
• Build robust LLM evaluation pipelines using LLM-as-judge setups, confusion matrices, and recall/precision tracking.
• Evaluate, fine-tune, and deploy open-weight models across various hosting and inference providers.
• Contribute to large-scale document intelligence pipelines, focusing on OCR, classification, and named entity recognition (NER).
• Collaborate with technical leadership to translate complex regulatory and business logic into reliable agent workflows.

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Nice to Have

• OCR
• OpenCV
• AWS Textract
• Amazon SageMaker
• Spanish
• Portuguese
• Japanese