AI Engineer at Awesome Motive

About the Role

As an AI Engineer at Awesome Motive, you will design, build, and ship AI systems that real people use, from AI features inside products used on over 30 million websites to internal tools built on behavioral and operational data. You will turn messy real-world data and user goals into output people can trust and act on: generated campaigns and content, plain-English recommendations, and automations that save hours of work. We hire for caliber first, then match you to the team where you will have the most impact.

Who You Are

• A builder at heart who understands how AI tools work under the hood and how to make them useful for real people.
• Focused on output quality rather than which model produced it, and restless when an AI feature is just fine.
• A self-starter who can take a loosely defined problem, figure out the right approach, and ship a working solution without being told what to do.
• User and decision focused first, not pipeline and model first.
• Comfortable owning the full stack of an AI project, from data exploration and model selection to the API, interface, and deployment.
• Builds with AI every day and verifies everything before it ships.
• An excellent communicator, fluent in verbal and written English, able to explain complex technical decisions to non-technical stakeholders.
• Committed to quality and craftsmanship: clean code, proper error handling, thoughtful architecture.
• Curious and eager to learn and grow in a fast-moving AI landscape, and shares knowledge with the team.
• A team player comfortable working alongside developers, product, design, and marketing, and open to critical feedback.

Responsibilities

• Design and ship AI features that turn a user's goal, website, or data into campaigns, content, and recommendations they can act on.
• Build AI-powered internal tools and data-driven systems used across the organization: analytics platforms, reporting automation, and workflow intelligence.
• Design and build LLM pipelines with solid prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
• Clean and analyze messy product and behavioral data, and ground AI output in facts so it never makes numbers up.
• Build data pipelines that ingest, transform, and serve behavioral and operational data at scale.
• Set up evaluation and observability so iterations are measurably better and failures are caught before users see them.
• Own the full path from model output to what the user sees, across backend and frontend.
• Evaluate and select the right models, frameworks, and infrastructure for each use case, balancing quality, cost, and latency.
• Watch how people use what you build and turn that into the next improvement.
• Write clean, well-tested, production-grade code with proper error handling, logging, and observability.
• Document your work, including how you used AI to build it, so others can learn from it and reuse it.
• Keep up with the rapidly evolving AI landscape and bring new ideas, tools, and approaches to the team.
• Communicate with the team and support your peers using chat, audio, and video.

Requirements

• 3+ years of professional experience building AI/ML systems in production, with AI features real users touch (not just POCs or hackathon projects).
• Strong proficiency in Python, including production-grade practices: proper packaging, testing, type hints, and async where appropriate.
• Full-stack experience with Python or Node services and a modern frontend such as React.
• Hands-on LLM engineering: prompt design, structured output, tool calling, RAG, guardrails, and evaluation of output quality.
• Hands-on experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, or similar; able to build a RAG pipeline from scratch.
• Experience with vector databases (Pinecone, ChromaDB, FAISS, Qdrant, or similar) and embedding models.
• Solid understanding of ML fundamentals: how models work, when to fine-tune versus prompt engineer, and how to evaluate properly.
• Experience with data processing at scale (SQL, pandas, Spark, or similar) and comfort cleaning messy real-world data.
• Experience building and deploying APIs (FastAPI, Flask, or similar) that serve AI features in production.
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Daily use of AI coding tools such as Claude Code, Cursor, or Codex, with a workflow you can explain.
• Competent with version control through Git and GitHub: clean commit history, proper branching, and code review through PRs.
• A product mindset: you care whether people use what you build and whether it moves a number.
• Ability to iterate and ship ideas quickly without sacrificing code quality.
• Exceptional troubleshooting skills for production incidents at scale.
• Ability to keep complex systems simple.
• Previous remote work experience with proactive communication and self-management.
• Personal computer with reliable internet access.
• Availability to participate in audio/video meetings and be available on Slack between the hours of 9 AM - 1 PM EST daily.

Bonus Points

• 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 just text.
• Conversion optimization, marketing tech, analytics, or personalization experience.
• Experience with eval and observability tooling 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 MCP (Model Context Protocol), function calling, or similar LLM integration patterns.
• Experience with model fine-tuning (PEFT, LoRA, QLoRA) and quantization for cost optimization.
• Familiarity with MLOps practices: model versioning, drift monitoring, and experiment tracking (MLflow, Weights & Biases, etc).
• Experience with Databricks, AWS SageMaker, or similar ML platforms.
• Familiarity with the WordPress ecosystem, PHP, or SaaS product development.
• Experience building internal tools and data platforms that non-technical teams rely on daily.
• Published research, open-source contributions, or technical writing that demonstrates depth of understanding.

Benefits

• Competitive salary.
• Term Life Insurance and Accidental Death & Dismemberment for all full-time team members.
• Health, Dental, and Vision Insurance benefits for full-time U.S. employees.
• Health Insurance benefits for all employees in Argentina, Brazil, Egypt, India, Indonesia, Jamaica, Kenya, Mexico, Nepal, Nigeria, Pakistan, Philippines, Poland, Romania, Serbia, Spain, and Ukraine.
• Work from your home; team spread across the United States, Canada, Ukraine, India, Pakistan, Singapore, and more.
• Flexible PTO after 90 days of employment.
• Holidays based on your location.
• Paid Parental Leave.
• Software, books, and courses provided or reimbursed for continued learning.
• All costs of company travel covered, including annual all-company retreat and mini-team meetups.
• Additional perks include a Welcome Box, yearly anniversary gifts, and a technology stipend each work anniversary.
• Opportunity to solve challenging and meaningful problems.
• Ability to work with some of the best people in the business through frequent daily interactions.

Location

This is a remote position with a globally distributed team. The home base is in Florida, USA, with company operating hours of 9am - 5pm ET (UTC -5). While full coverage is not a requirement, you must be available during a portion of the day.

Inclusion Statement

Awesome Motive is proud to be an equal opportunity workplace committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other basis protected by federal, state, or local law.

How to Apply

Submit your application, and remember to proofread before submitting. Check spelling and capitalization to help your application stand out. The team cannot individually respond to all applications, but strong matches will be contacted shortly.