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AI Ops Engineer – Backend Developer, Python
Rox PartnerSenior AI Ops Engineer responsible for deploying and maintaining AI applications at Rox Partner. Engaging with cross-functional teams and managing complex data systems for high availability.
Tech Stack
Tools & technologiesAWSCloudDjangoFlaskGrafanaGraphQLPython
About the role
Key responsibilities & impact- Deploy, orchestrate, and maintain AI applications in high-availability production environments
- Develop and maintain complex system integrations using REST/GraphQL APIs, API Gateways, and Load Balancers
- Build data pipelines and processing workflows for AI applications using Python in AWS environments
- Design, optimize, and support architectures based on Agentic AI and Agent-to-Agent (A2A) communication
- Implement and support integrations using MCP (Model Context Protocol)
- Evolve and maintain OCR pipelines and unstructured data extraction workflows using LLMs
- Create, manage, and enhance advanced monitoring and observability dashboards to ensure model health, inference performance, application availability, and operational cost control using Grafana, Rancher, and related tools
- Monitor and optimize AI applications in production to ensure scalability, stability, and operational efficiency
- Identify and resolve performance issues, bottlenecks, and failures in AI pipelines
- Collaborate with cross-functional engineering, data, architecture, and product teams
Requirements
What you’ll need- Strong experience in backend development with Python (FastAPI, Flask, Django, or similar)
- Extensive experience with AWS and cloud infrastructure services
- Practical experience deploying and supporting Generative AI applications in production
- Experience with integrations via REST/GraphQL APIs
- Advanced knowledge of API Gateways, Load Balancers, and distributed architecture
- Experience with monitoring, observability, and troubleshooting in production
- Experience with tools such as Grafana, Datadog, ELK Stack, or similar
- Hands-on 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
Benefits
Comp & perks- Remote work – Monday to Friday (09:00–18:00)
- Home-office allowance – Credit on iFood card for meals/food worth R$ 300.00 per month
- Birthday – Rox gifts you a voucher and a day off so you can enjoy your day
- Courses – Full access to RoxSchool, Alura, Pluralsight, and O'Reilly (books and talks)
- Certifications – Reimbursement of up to R$ 300.00 for technology certifications + a R$ 300.00 bonus per certification achieved from these providers
- Psychologist support – Two psychotherapy sessions covered monthly by ROX with partner psychologists
- Feedz partnership – A gamified platform to stay connected, improve communication, and track sentiments, engagement, feedback, development plans (PDI), and performance
- WellHub (Gympass) – Partnership with gyms and health and wellness apps
- Work equipment provided
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonFastAPIFlaskDjangoAWSREST APIsGraphQL APIsMCP (Model Context Protocol)OCRCI/CD
Soft Skills
collaborationtroubleshootingproblem-solvingcommunicationmonitoringobservabilityperformance optimizationscalabilitystabilityoperational efficiency