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Salary
≈ $51k – $131k per year (Estimated)
Location
Remote (Brazil)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 19, 2026. TRACTIAN scores C on the Alion truth index.

Overview
Company
Impact
Profile match
TRACTIAN is a company founded in 2019 by Brazilian engineers that builds sensors and software for industrial maintenance. Its vibration and energy monitors stream data to models that detect bearing wear, misalignment and other failures weeks before machines break down. It serves manufacturers across the Americas and develops its own hardware, firmware and analytics.

Why join us

Tractian is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients.

AI Engineering at Tractian

The AI Engineering team at Tractian focuses on extracting actionable intelligence from vast amounts of industrial assets, telemetry, and maintenance workflows. We bridge the gap between state-of-the-art machine learning models and mission-critical industrial applications. By bringing rigorous software engineering principles to modern AI, we build scalable, event-driven, and resilient systems that frontline engineers rely on 24/7, directly optimizing frontline productivity and asset reliability.

What you'll do

We're seeking a Senior AI Engineer with a solid software engineering foundation to design, develop, and deploy production-ready AI and agentic systems. In this role, you will bring strong product vision and high agency, proactively exploring the problem space and driving technical solutions end-to-end. You'll build robust APIs, architect event-driven data streaming pipelines, implement intelligent information retrieval systems, and orchestrate custom agentic workflows that connect AI capabilities with real-world industrial applications.

Responsibilities

  • 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 our 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 Qualifications

  • Experience with LLM fine-tuning and model optimization techniques.
  • Knowledge of containerization (Docker, Kubernetes) and microservices architecture.

Technical Skills

  • Programming: Python and/or Golang.
  • Frameworks: FastAPI, Flask.
  • Agentic Systems: Custom state machines, tool-calling pipelines, execution loops.
  • Streaming & Messaging: Apache Kafka, event-driven architecture.
  • Document Processing: OCR engines, PDF parsing, multimodal LLMs.
  • AI Reliability: Evals (LLM-as-a-judge, benchmarks), observability, tracing, guardrails.
  • API Development: REST, OpenAPI, gRPC.
  • Databases: PostgreSQL, Redis, vector databases.
  • LLM Integration: OpenAI, Anthropic, and open-source models.

Compensation & 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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