Senior AI Automation Engineer

Later

AI Automation Engineer at Later enhancing operations through AI-powered automations across teams. Collaborating with stakeholders to optimize workflows and drive efficiency.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesSenior💰 CA$110,000 - CA$160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping automations and internal tools using modern AI tooling, APIs, and no-code/low-code platforms, while effectively communicating technical concepts to non-technical stakeholders. Possesses a strong business-first mindset, focusing on problem definition and measurable impact.

Highest-signal resume keywords

Automation DevelopmentAI Tooling FluencyAPI IntegrationStrong Communication SkillsResourcefulness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation DevelopmentAI ToolingAPI IntegrationScriptingNo-Code PlatformsLow-Code PlatformsData CleaningData AnalysisProblem DefinitionWorkflow Optimization

Soft Skills

ResourcefulnessCoachingCommunicationCollaborationProblem-Solving

Tools & Technologies

LLMsAgentsRAG PatternsPrompt DesignInternal Tools

Industry Keywords

RevOpsBizOpsApplied AICitizen Developer

About the role

Key responsibilities & impact

Embed with non-technical stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand their workflows in depth.
Surface the highest-impact automation opportunities and translate fuzzy, ambiguous problems into clear technical solutions.
Leave every stakeholder conversation with a sharper problem definition than you walked in with.
Build automations and internal tools using AI-native platforms, scripting, APIs, and whatever else gets the job done, pragmatism over purity.
Ship working v1s quickly so stakeholders can validate value before investment scales.
Wire together LLMs, agents, RAG patterns, and prompt design with existing systems to deliver real workflow outcomes.
Take working prototypes and harden them with the reliability, observability, error handling, and reusability needed for production use.
Define when a one-off solution is good enough as-is versus when it needs to be promoted into something the whole org can rely on.
Build the monitoring and documentation that lets automations run unattended and recover gracefully when they don't.
Coach and advise non-technical colleagues who are building their own automations: review their work, unblock them, and level up their skills over time.
Run lightweight enablement (working sessions, office hours, shared documentation) that grows the citizen-developer community at Later.
Communicate technical tradeoffs clearly to non-technical audiences and teach others to fish.

Requirements

What you’ll need

A track record of building and shipping automations, internal tools, or AI-powered workflows that delivered measurable business impact.
Strong fluency with modern AI tooling (LLMs, agents, RAG, prompt design) and comfort wiring together APIs, scripts, and no-code/low-code platforms.
A business-first mindset: you start with the problem and the user, not the technology, and can sharpen a non-technical partner's problem definition through the right questions.
Resourcefulness and a bias to action: you ship a working v1 in days, not months, and iterate from there.
An instinct for scale, knowing when something is good enough as a one-off versus when it needs to be built to serve the whole org.
Strong written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical audiences and coach others to build their own solutions.
Experience in an internal-tools, RevOps, BizOps, or 'applied AI' function is a plus.
A background in supporting or training non-technical builders (citizen developers, ops teams running their own tooling) is a bonus.
Comfort with data: pulling it, cleaning it, and reasoning about it.

Benefits

Comp & perks

Eligible to participate in various benefits plans as part of their overall compensation package