AI Ops Engineer – Backend Developer, Python

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.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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Rox Partner

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Rox Partner is a Brazilian technology consultancy focused on transforming data into strategic assets and protecting organizations from cyber threats. The company offers data engineering, data management, analytics, machine learning/AI, data platform modernization, DataOps/MLOps and data literacy services alongside managed IT, SOC/managed security, pentesting and security consulting. Rox Partner serves enterprise clients across health, finance, retail, telecom, industry and other sectors, and holds certifications like ISO 27001 and partnerships with Google Cloud, AWS and Microsoft.

📋 Description

• Deploy, orchestrate, and maintain AI applications in high-availability production environments • Develop and maintain complex integrations between systems using REST/GraphQL APIs, API Gateways, and Load Balancers • Build data pipelines and processing flows for AI applications using Python on AWS • Design, optimize, and maintain Agentic AI architectures and Agent-to-Agent (A2A) communication • Implement and support integrations with MCP (Model Context Protocol) • Evolve and maintain OCR pipelines and unstructured data extraction using LLMs • Create, manage, and evolve monitoring and observability dashboards with Grafana, Rancher, and related tools • Monitor and optimize AI applications in production, ensuring scalability, stability, and operational efficiency • Identify and resolve performance issues, bottlenecks, and failures in AI pipelines • Collaborate with multidisciplinary teams in engineering, data, architecture, and product

🎯 Requirements

• Strong experience in backend development with Python (FastAPI, Flask, Django or similar) • Deep experience with AWS and cloud infrastructure services • Hands-on experience deploying and supporting Generative AI applications in production • Experience integrating via REST/GraphQL APIs • Advanced knowledge of API Gateway, Load Balancer, and distributed architectures • Experience with monitoring, observability, and production troubleshooting • Experience with Grafana, Datadog, ELK Stack or similar • Practical knowledge of LangChain, LangFlow and LangGraph • Experience with Agentic AI and A2A communication flows • Knowledge and implementation experience with MCP (Model Context Protocol) • Experience with OCR, document processing and unstructured data extraction • Experience with CI/CD, DevOps and/or MLOps • Experience with Git and automated deployment pipelines • Knowledge of containers, clusters and management via Rancher • Nice to have: Java and Spring Boot; CrewAI, AutoGen or similar frameworks; RAG; vector databases and embeddings; OpenAI API, Anthropic or other LLM providers; AWS Textract, Tesseract or other OCR tools; high-volume environments and mission-critical applications; consultancy experience or fast-evolving technology environments • Analytical profile and focused on solving complex problems • Good communication and ability to work closely with technical and business areas • Ability to work collaboratively in multidisciplinary teams • Hands-on profile, autonomy and a sense of responsibility • Ability to operate in dynamic environments with multiple simultaneous challenges • Continuous interest in learning and evolving in AI technologies • Ability to prioritize and organize in critical environments • Architectural vision and concern for scalability, stability and technical governance

🏖️ Benefits

• Remote work – Monday to Friday (09:00–18:00) • Home-office allowance – iFood card credit for Meal/Food worth R$ 300.00 per month • Birthday – gift voucher and a day off • Full access to RoxSchool, Alura platform, Pluralsight and O'Reilly for books and talks • Certification reimbursement up to R$300.00 (TECHNOLOGY) + R$300.00 bonus per certification achieved from these brands • Psychological support – two psychotherapy sessions covered monthly by ROX • Feedz partnership – gamified platform for communication, sentiment, engagement, feedback, PDI and performance • WellHub (Gympass) – partnerships with gyms and health & wellness apps • Work equipment provided