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Senior AI Engineer, Ops Labs

Job not on LinkedIn

🔥 6 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Félix's careers page, not through a job board

First seen by Remote Rocketship 6 minutes ago

Logo of Félix

Félix

51 - 200 employees

Founded 2021

🤝 B2B

B2B

Félix is a front-end web UI/design-focused entity whose provided asset is a large collection of custom CSS. The code styles forms, inputs (including international telephone input), navigation, toggles (including a dual-currency sliding pill), skeleton loaders, responsive layout helpers, and small interactive components (spinners, tooltips, preloader behavior). This indicates Félix produces or maintains front-end component styles and patterns for websites or web applications — likely a design system, UI toolkit, or an agency/team that implements polished web interfaces.

📋 Description

• Design, build, and scale autonomous AI agents for product and internal operations • Develop end-to-end AI strategies and use cases to automate and scale CX Operations • Partner with the Head of Ops Labs and Ops leadership to identify operational opportunities and transform friction into AI-assisted workflows • Design predictive triggers, LLM-powered categorization, decision automation, and alert systems • Architect, ship, and maintain stateful production AI agents that call tools, move cases between queues, and maintain case lifecycle state • Establish LLMOps monitoring, tracing, and observability for agentic workflows • Integrate AI agents into CX, compliance, hold-queue, and transaction systems with least-privilege access • Own containerization, CI/CD deployment, and post-launch stability • Design automated evaluation pipelines, including LLM-as-a-judge, semantic similarity, adversarial benchmarking, and trajectory evaluations • Optimize RAG pipelines and agent loops through caching, prompt compression, and model routing • Mentor junior engineers and drive asynchronous programming, error handling, and structured data validation best practices • Define autonomy boundaries, confidence thresholds, escalation paths, approval gates, and audit trails • Partner with AI leads, engineering teams, and product managers to turn AI strategy into a roadmap

🎯 Requirements

• 5+ years of hands-on experience in software engineering, with at least 2 years dedicated to building and deploying production-grade AI/ML applications focused on LLMs or generative AI • Mandatory expertise in Python • Deep familiarity with at least one core LLM API or framework, such as OpenAI SDK, Google AI SDK, CrewAI, or LangChain • Proven experience shipping production AI agents that take actions, including tool calling, multi-step orchestration, state management, human-in-the-loop escalation, guardrails, and failure handling • Strong understanding of software development best practices, Git/GitHub, and CI/CD pipelines • Demonstrated ability to translate ambiguous operational briefs into testable hypotheses • Proven ability to translate high-level business needs into concrete, maintainable, and well-tested code • Experience building AI for CX, support, compliance, or other operations teams • Equivalent competencies in the listed areas will also be considered

🏖️ Benefits

• Competitive salary • Initial stock options grant • Annual performance bonus • Unlimited PTO • Paid parental leave • Work model: currently fully remote, with a future transition to a hybrid setup • Health, dental, and vision plans • Continuous learning opportunities • Empowering opportunities for growth in a dynamic entrepreneurial environment

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