Senior AI Engineer, Ops Labs

Job not on LinkedIn

🔥 16 hours ago

🌐 Argentina, Mexico, +2 more countries – Remote

🇦🇷 Argentina – Remote 🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 16%

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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Félix

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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 retain state across case lifecycles • Establish LLMOps monitoring, tracing, and observability for agentic workflows • Integrate AI agents into CX platforms, compliance and hold queues, and transaction tooling using least-privilege access • Own containerization, CI/CD deployment, and post-launch stability • Design automated evaluation pipelines using LLM-as-a-judge, semantic similarity testing, adversarial benchmarking, and trajectory evaluations • Optimize RAG pipelines and agent loops through caching, prompt compression, and model routing • Mentor junior engineers and drive practices in asynchronous programming, error handling, and structured data validation • Define autonomy boundaries, confidence thresholds, escalation paths, approval gates, and audit trails

🎯 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 • Ability to translate ambiguous operational briefs into testable hypotheses and validate assumptions through experiments • Ability to translate high-level business needs into concrete, maintainable, well-tested code • Experience building AI for CX, support, compliance, or other operations teams • Equivalent competencies in the listed areas will also be considered • RAG and vector databases are a plus • Experience with personal projects or demonstrable GitHub contributions is a strong plus • Familiarity with AHT, FCR, CSAT, and SLA is a strong plus

🏖️ 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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