Senior AI Engineer

Job not on LinkedIn

🔥 22 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TRACTIAN

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

🏭 Manufacturing

🔧 Hardware

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 DEBT on 2026-07

Manufacturing • Hardware • Artificial Intelligence

TRACTIAN is a provider of AI-powered hardware and software for multimodal asset health and predictive maintenance. The company combines plug-and-play vibration and electrical sensors with cloud analytics and AI-driven failure diagnostics to deliver real-time monitoring, downtime prevention, unified asset health views, and CMMS/work-order integrations for asset-heavy operations. Tractian targets manufacturing, data centers, oil & gas, mining, government, and other industrial facilities and is used to scale reliability programs and reduce operational risk; the company recently reached a reported $1. 4B valuation after a $130M Series D.

📋 Description

• Design and develop production-grade applications and custom agentic workflows powered by LLMs. • Build intelligent data processing workflows using OCR, PDF layout analysis, audio and image models. • Architect and scale event-driven data streaming pipelines using Apache Kafka to power AI workloads. • Create and maintain high-performance APIs that integrate AI capabilities with the platform. • Implement evaluation frameworks (evals) to benchmark and track model quality, accuracy, and regressions. • Partner proactively with product teams to define technical requirements. • Mentor engineers, drive architecture discussions, and ensure best practices through code reviews.

🎯 Requirements

• 5+ years of experience in software engineering with a strong backend/distributed systems foundation. • 2+ years of experience building and shipping production AI/LLM systems. • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent technical field. • Demonstrated experience building production-grade applications with custom agentic systems, document processing pipelines, and/or information-retrieval systems. • Hands-on experience with event-driven architectures and streaming using Apache Kafka. • Working knowledge of AI evaluation methods (evals), observability/tracing, security guardrails, cost optimization, latency reduction, and semantic caching. • Strong proficiency in Python and/or Golang, with experience in frameworks like FastAPI or Flask. • Strong proficiency in designing, building, and maintaining production REST APIs and databases. • High ownership and strong product sense: able to take ambiguous problems, collect technical requirements, prioritize impact, and execute independently. • Preferred: Experience with LLM fine-tuning and model optimization techniques. • Preferred: Knowledge of containerization (Docker, Kubernetes) and microservices architecture.

🏖️ Benefits

• Competitive Compensation • 30 days of paid annual leave • Education and courses stipend • Earn a trip anywhere in the world every 4 years • R$1.035/month for meals allowance • Health plan with national coverage and without coparticipation • Dental Insurance: we help you with dental treatment for a better quality of life. • Wellhub Membership: Access a wide range of gyms and training programs.

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