AI Engineer

Continued

AI Engineer developing and deploying scalable AI systems for a leading EdTech company. Collaborating with stakeholders to drive business outcomes and operationalizing machine learning models.

Posted 5/29/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

ATS Keywords

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Hard Skills

AI systemsautomation systemsdata pipelinesAI model context protocolsSQLOOPclean architecturetestable systemsfull generative AI stackstatistics

Soft Skills

stakeholder engagementcommunicationcollaborationcuriosityself-directedtranslating complex conceptsconnecting technical decisions to business outcomesresponsible AI practices

Tools & Technologies

MCPLangChainvector databasessemantic searchZapierGumloopn8nPostgresRedisFastAPI

Certifications & Qualifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data Science

Industry Keywords

AILLM-powered systemsdata warehousingproduction systemsremote-first environmentfrontend interfacesbackend servicesdeveloper documentationscalable infrastructureexperimental design

Tech Stack

Tools & technologies

JavaScriptNext.jsNode.jsPostgresPythonReactRedisSQLTypeScript

About the role

Key responsibilities & impact

Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment.
Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search.
Ensure the high availability, performance, and security of AI platform services.
Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation.
Translate complex AI concepts for non-technical stakeholders and keep business goals front and center.
Keep pace with rapidly evolving AI models, frameworks, and research—and bring that knowledge back to the team.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, or a related field—or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice.
Minimum of 3–5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems.
Proven experience moving AI models out of notebooks and into live, scalable, monitored production systems.
Fluent in the full generative AI stack—LLMs, embeddings, vector databases, semantic search—and know how to apply them to real business problems.
Strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on.
Write production-ready code. OOP, clean architecture, testable systems—these aren’t buzzwords to you, they’re defaults.
Experience with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom.
Ability to connect technical decisions to business outcomes.
Comfortable in a stakeholder meeting as you are in a code review.
Believe in responsible, transparent AI practices and bring that lens to everything you build.
Thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting.
Preferred: Full-Stack Fluency in React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends—and you’re comfortable managing data with Postgres or Redis.
Preferable: Solid grounding in statistics, probability, and experimental design.

Benefits

Comp & perks

Work from home with a company-provided MacBook and internet stipend.
21 days of flexible PTO + your birthday + holidays (with flexible substitution).
Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more.
401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.