AI Engineer

AI Engineer (Software Engineer, AI and Agent) 👉 IMPORTANT: Upload your resume as a PDF. Resumes in other formats (e.g., DOC or DOCX) will be automatically disqualified by our AI systems. 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 6+ years building scalable backend systems or platforms in production Strong coding skills and comfort with service-oriented architectures Experience shipping ML/LLM-powered applications Strong understanding of foundation models, prompt engineering, and evals methods Ability to make clear tradeoffs between quality, speed, and cost in production systems Hands-on experience in fast-moving product environments and 0→1 systems Takes full ownership of projects and operates well with ambiguity Bachelor’s degree in CS/Software Engineering or equivalent experience Preferred Qualifications Experience building agent applications with tool calling, context engineering, MCP, and open connector integrations. Familiarity with the trade-offs between major LLM architectures and how they impact quality, cost, and latency in production Experience improving LLM serving performance in production (e.g., continuous batching, quantization, GPU utilization)Experience developing evaluation or quality-control systems for ML products Experience contributing to open-source model tooling or post-training workflows You will code in our internal Typescript framework but it’s desirable to have familiarity with frameworks like LangGraph, AutoGen, LlamaIndex agents, etc Experience with Temporal is a plus Perks Fully Remote Work Work from anywhere—your productivity, your space We help set up your work environment to enable your best work. Minimal meetings and async communication for deep focus Ample Time Off Enablement for you to recognize your countries holidays We encourage you to take the time you need to recharge Professional Growth We’re an AI forward culture and work environment - Learn all things AI Access to training, workshops & mentorship programs Support for external conferences & industry events Collaborative Culture Open communication & feedback-driven environment. Clear, concise communication is key to our success. 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. Referrals increase your chances of interviewing at GrowthX AI by 2x #J-18808-Ljbffr