Senior AI Engineer, Ops Labs

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Develop, construct, and expand autonomous AI agents tailored for both product and internal operations.

• Collaborate with Operations leadership to convert operational challenges into AI-enhanced workflows.

• Create solutions that incorporate predictive triggers, LLM-driven categorization, decision automation, and alert systems.

• Design, deploy, and manage stateful production AI agents that utilize tools, transition cases among queues, and maintain state throughout case lifecycles.

• Implement monitoring, tracing, and observability for agent-based workflows.

• Integrate AI agents into customer experience platforms, compliance and hold queues, and transaction tools using least-privilege access principles.

• Oversee containerization, CI/CD deployment, and post-launch stability.

• Develop automated evaluation pipelines utilizing LLM-as-a-judge, semantic similarity assessments, adversarial benchmarking, and trajectory evaluations.

• Enhance RAG pipelines and agent loops through caching, prompt compression, and model routing strategies.

• Mentor junior engineers and promote best practices in asynchronous programming, error handling, and structured data validation.

• Establish autonomy limits, confidence thresholds, escalation protocols, approval gates, and audit trails.

• Collaborate with AI leaders, engineering teams, and product managers to translate AI strategy into actionable roadmaps.

⛳️ Requirements

• A minimum of 5 years of hands-on software engineering experience, with at least 2 years focused on building and deploying production-grade AI/ML applications centered on LLMs or generative AI.

• Proficiency in Python is essential.

• Strong familiarity with at least one primary LLM API or framework, such as OpenAI SDK, Google AI SDK, CrewAI, or LangChain.

• Demonstrated experience in delivering production AI agents capable of executing actions, including tool invocation, multi-step orchestration, state management, human-in-the-loop escalation, guardrails, and error handling.

• Solid understanding of software development best practices, including Git/GitHub and CI/CD pipelines.

• Ability to convert ambiguous operational briefs into testable hypotheses and validate assumptions through experimentation.

• Capability to translate high-level business requirements into concrete, maintainable, and thoroughly tested code.

• Experience in creating AI solutions for customer experience, support, compliance, or other operational teams.

• Equivalent competencies in the aforementioned areas will also be taken into account.

🏝️ Benefits

• Competitive salary.

• Initial stock options grant.

• Annual performance bonus.

• Unlimited PTO.

• Paid parental leave.

• Work model: currently fully remote, with plans to transition to a hybrid setup in the future.

• Health, dental, and vision plans.

• Continuous learning opportunities.

• Empowering opportunities for growth in a dynamic entrepreneurial environment.