Senior AI Engineer, Ops Labs

Félix

. Design, build, and scale autonomous AI agents for product and internal operations .

Posted 11/6/2026full-timeRemote • ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying production-grade AI agents, with a strong focus on Python and LLM frameworks. Capable of translating operational needs into scalable AI solutions while ensuring best practices in software development and CI/CD processes.

Highest-signal resume keywords

Python ProgrammingLLM API ExpertiseProduction AI Agent DevelopmentCI/CD DeploymentSoftware Development Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Application DevelopmentState ManagementMulti-Step OrchestrationError HandlingAsynchronous ProgrammingAutomated Evaluation PipelinesPredictive TriggersDecision AutomationMonitoring and ObservabilityData Validation

Soft Skills

Problem-SolvingMentoringCollaborationAdaptabilityCommunication

Tools & Technologies

OpenAI SDKGoogle AI SDKCrewAILangChainGitGitHubRAG DatabasesVector DatabasesCI/CD ToolsAgentic Workflows

Industry Keywords

CX OperationsComplianceOperational SystemsAHTFCRCSATSLAAI StrategiesWorkflow AutomationHuman-in-the-Loop

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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
Surface and scope AI opportunities across operational systems
Design AI-powered solutions that automate workflows while giving CX Ops agents visibility and authority
Validate operational impact before scaling solutions
Partner with the Head of Ops Labs, AI leads, engineering teams, and PMs to translate AI strategy into a roadmap
Transform operational friction into AI-assisted workflows using 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 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 covering tool trajectories, safety, groundedness, resolution time, escalation rate, and CX agent override rate
Optimize RAG pipelines and agent loops through caching, prompt compression, and model routing
Mentor junior engineers and drive best practices in asynchronous programming, error handling, and structured data validation
Define autonomy boundaries, confidence thresholds, escalation paths, approval gates, and audit trails for AI decisions

Requirements

What you’ll need

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
RAG and vector databases are a plus
Strong understanding of software development best practices, Git/GitHub, and CI/CD pipelines
Personal projects or demonstrable GitHub contributions are a strong plus
Ability to translate ambiguous operational briefs into testable hypotheses
Comfort with incomplete specifications and clarifying success metrics
Understanding of trade-offs between technical sophistication and operational constraints
Experience validating 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
Familiarity with AHT, FCR, CSAT, and SLA metrics is a strong plus
Equivalent competencies in the listed areas will also be considered

Benefits

Comp & perks

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