Senior AI Engineer, Ops Labs

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

📋 Description

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

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

• Design, deploy, and oversee stateful AI agents that utilize tools, transfer cases among queues, and maintain state throughout the lifecycle of cases.

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

• Integrate AI agents into customer experience, compliance, hold-queue, and transaction systems using a least-privilege access model.

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

• Develop automated evaluations-as-code, trajectory assessments, adversarial benchmarks, and metrics for business outcomes.

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

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

• Establish boundaries for autonomy, confidence thresholds, escalation paths, approval gates, and audit trails.

• Work in collaboration with the Head of Ops Labs, AI leaders, engineering teams, and product managers to formulate and implement the AI roadmap.

⛳️ Requirements

• Over 5 years of practical experience in software engineering, including at least 2 years focused on building and deploying production-grade AI/ML applications centered on LLMs or generative AI.

• Essential proficiency in Python and a deep understanding of at least one core LLM API or framework, such as OpenAI SDK, Google AI SDK, CrewAI, or LangChain.

• Demonstrated success in deploying production AI agents that perform actions, including tool invocation, multi-step orchestration, state management, human-in-the-loop escalation, guardrails, and failure management.

• Robust knowledge of software development best practices, Git/GitHub, and CI/CD pipelines.

• Capability to transform vague operational briefs into testable hypotheses and validate assumptions through experimentation.

• Skill in converting high-level business requirements into solid, maintainable, and well-tested code.

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

• Equivalent qualifications in the specified areas will also be taken into account.

🏝️ Benefits

• Initial stock options grant.

• Annual performance bonus.

• Unlimited paid time off (PTO).

• Paid parental leave.

• Work model: currently fully remote, with a planned transition to a hybrid setup.

• Health, dental, and vision insurance plans.

• Opportunities for continuous learning.

• Empowering growth opportunities within a dynamic entrepreneurial environment.