AI Engineer (Software Engineer, AI and Agent)

AI Engineer (Software Engineer, AI and Agent)

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About GrowthX AI

At GrowthX, we've redefined what AI-powered growth means for modern marketing teams. Since launching in 2024, we've grown from concept to eight-figure annual revenue. To date, we've raised a $12M Series A led by Madrona Venture Group and we partner with 50+ companies ranging from high-growth startups to industry leaders like Surge AI, Loveable, Webflow, Ramp, Superhuman, Strapi, Abnormal Security, and Homebase. We've built something different—what we call "service-as-software." Instead of handing you tools and leaving you to figure them out, we deliver complete outcomes. Our platform combines sophisticated AI workflows with expert human oversight to create, distribute, and optimize content that drives real business results. Our philosophy is simple : AI should serve experts, not replace them. We're not just building software. We're building the growth infrastructure that marketing teams wish they'd always had.

The Role

Help build the AI systems that power GrowthX’s content generation platform — where LLMs handle execution and experts provide strategy and judgment. You’ll design, build, and ship the core agent workflows and model-driven features that help our customers create content humans alone can’t produce, and AI alone shouldn’t. Your work will bridge new breakthrough research to production, ensuring quality, safety, and continuous improvement at scale. You’ll also work on many other parts of our business where we rely on agents.

Responsibilities

• Build and iterate on LLM features and components for our agentic workflow platform powering the expert-guided content generation
• Design and maintain APIs and services for inference and workflow execution that will be used by both internal and external customers
• Improve model performance through eval system, prompt optimization, and retrieval-augmented generation (RAG) and fine tuning
• Benchmark and optimize performance, cost, and latency across the inference stack
• Strengthen reliability, observability, testing, and deployment practices for AI systems
• Scale platform components to support rapid experimentation and learning from human feedback
• Identify and integrate relevant advances in AI tooling and research into production features

Qualifications

Preferred Qualifications

Perks

Fully Remote Work

Ample Time Off

Professional Growth

Collaborative Culture

Work Visa : Applicants must have legal authorization to work in the country of residence. We are not able to provide employment visa sponsorship at this time.

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