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Awesome Motive

Provides WordPress tools and training

AI Engineer

AI Application Engineering +1Posted on Nov 9
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 3 years of professional experience building production AI/ML systems with features used by real users.
  • Strong proficiency in Python, including packaging, testing, type hints, and asynchronous programming where appropriate.
  • Full-stack experience across Python or Node services and a modern frontend such as React.
  • Hands-on experience with LLM prompt design, structured output, tool calling, retrieval-augmented generation (RAG), guardrails, and output-quality evaluation.
  • Hands-on experience with LLM frameworks such as LangChain, LangGraph, or LlamaIndex, and ability to build a RAG pipeline from scratch.
  • Experience with vector databases such as Pinecone, ChromaDB, FAISS, or Qdrant, and embedding models.
  • Understanding of machine learning fundamentals, model operation, fine-tuning versus prompt engineering, and model evaluation.
  • Experience processing data at scale using SQL, pandas, Spark, or similar, and cleaning real-world data.
  • Experience building and deploying production APIs for AI features using FastAPI, Flask, or similar.
  • Familiarity with cloud infrastructure such as AWS, GCP, or Azure, and containerization with Docker or Kubernetes.
  • Daily use of AI coding tools such as Claude Code, Cursor, or Codex, with an explainable workflow.
  • Competence with Git and GitHub, including branching, clean commit history, and pull-request code review.
  • Previous remote-work experience and ability to manage time, communicate proactively, and work productively without supervision.
  • Personal computer with reliable internet access.
  • Availability for audio/video meetings and Slack between 9 AM and 1 PM EST daily.

Responsibilities

  • Design and ship AI features that turn user goals, websites, or data into actionable campaigns, content, and recommendations.
  • Build AI-powered internal tools and data-driven systems, including analytics platforms, reporting automation, and workflow intelligence.
  • Design and build LLM pipelines using prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
  • Clean and analyze product and behavioral data, grounding AI output in factual data.
  • Build data pipelines that ingest, transform, and serve behavioral and operational data at scale.
  • Set up evaluation and observability to measure iteration quality and catch failures before users see them.
  • Own the path from model output to the user experience across backend and frontend.
  • Evaluate and select models, frameworks, and infrastructure for use cases, balancing quality, cost, and latency.
  • Observe how people use shipped products and use those observations to guide improvements.
  • Write clean, well-tested, production-grade code with error handling, logging, and observability.
  • Document work, including how AI was used to build it, so others can learn and reuse it.
  • Keep current with developments in AI and bring new ideas, tools, and approaches to the team.
  • Communicate with the team and support peers through chat, audio, and video.

Desired Qualifications

  • Experience building AI features in a builder, landing-page tool, popup product, or other marketing product.
  • Experience generating layouts, designs, or ready-to-publish content, not only text.
  • Experience in conversion optimization, marketing technology, analytics, or personalization.
  • Experience with evaluation and observability tools such as Langfuse, DeepEval, RAGAS, or LLM-as-a-judge setups.
  • Experience building multi-agent systems using CrewAI, LangGraph, AutoGen, or similar frameworks.
  • Experience with Model Context Protocol, function calling, or similar LLM integration patterns.
  • Experience with model fine-tuning using PEFT, LoRA, or QLoRA, and quantization for cost optimization.
  • Familiarity with MLOps practices such as model versioning, drift monitoring, and experiment tracking with MLflow, Weights & Biases, or similar.
  • Experience with Databricks, AWS SageMaker, or similar machine-learning platforms.
  • Familiarity with WordPress, PHP, or SaaS product development; understanding small business owners, bloggers, or ecommerce operators is useful context.
  • Experience building internal tools and data platforms used daily by non-technical teams.
  • Published research, open-source contributions, or technical writing demonstrating depth of understanding.

About the Company

Awesome Motive

Provides WordPress tools and training

Awesome Motive builds and supports a suite of WordPress tools and training to help small businesses grow online. Its products—WPBeginner resources, OptinMonster for lead capture, MonsterInsights for analytics, WPForms for forms, SeedProd for landing pages, Smash Balloon for social feeds, All In One SEO, PushEngage, and more—integrate with WordPress to capture leads, boost search visibility, analyze traffic, create pages and forms, display feeds, and send notifications. The company differentiates itself with a large remote team across 40+ countries, a broad, integrated set of tools focused on helping small businesses compete, and a reputation as a thought leader through rapid growth and practical guidance. Its goal is to give customers a competitive edge and help them stay ahead of market trends despite changing conditions.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
West Palm Beach, FL
Founded
2009

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