As an AI Engineer, you're responsible for designing, building, and shipping AI systems that real people use, from AI features inside products used on over 30 million websites to internal tools built on our behavioral and operational data. You will turn messy real-world data and a user's 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.
Interested in applying?Please read/follow the next steps outlined in "How to Apply" at the bottom of this listing.Attention to detail is one of our core values! This is your chance to stand out :)To love this role, here's the type of person you are:- You're a builder at heart. You don't just use AI tools, you understand how they work under the hood, and you think about how to make them useful for real people, not just technically impressive.
- You care more about how good the output is than which model produced it, and you get restless when an AI feature is just fine.
- You're a self-starter who can take a loosely defined problem, figure out the right approach, and ship a working solution without needing to be told what to do next.
- You think about the user and the decision first, not the pipeline and the model. When you see data, your first instinct is to ask what question it answers for the person who needs it.
- You're comfortable owning the full stack of an AI project, from data exploration and model selection to the API, the interface, and deployment, and making sure it actually works in production.
- You build with AI every day, and you still verify everything before it ships. "The AI did it" is never your answer.
- You're an excellent communicator, fluent in both verbal and written English. You can explain complex technical decisions to non-technical stakeholders without dumbing it down.
- You take pride in the quality and craftsmanship of your work: clean code, proper error handling, thoughtful architecture, not just something that works on the happy path.
- You have the curiosity and desire to learn and grow. The AI landscape moves fast and you keep up because you genuinely enjoy it, and you share what you learn so the people around you get faster too.
- You're a team player who is comfortable working alongside developers, product, design, and marketing, and doesn't take critical feedback personally.
Common responsibilities include (but are not limited to):- Designing and shipping AI features that turn a user's goal, website, or data into campaigns, content, and recommendations they can act on.
- Building AI-powered internal tools and data-driven systems used across the organization: analytics platforms, reporting automation, and workflow intelligence.
- Designing and building LLM pipelines with solid prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
- Cleaning and analyzing messy product and behavioral data, and grounding AI output in the facts so it never makes numbers up.
- Building data pipelines that ingest, transform, and serve behavioral and operational data at scale.
- Setting up evaluation and observability so every iteration is measurably better than the last, and failures are caught before users see them.
- Owning the full path from model output to what the user sees, across backend and frontend.
- Evaluating and selecting the right models, frameworks, and infrastructure for each use case, balancing quality, cost, and latency.
- Watching how people actually use what you build, and turning that into the next improvement.
- Writing clean, well-tested, production-grade code with proper error handling, logging, and observability.
- Documenting your work, including how you used AI to build it, so others can learn from it and reuse it.
- Keeping up with the rapidly evolving AI landscape and bringing new ideas, tools, and approaches to the team.
- Communicating with the team and supporting your peers using chat, audio, and video.
Requirements- 3+ years of professional experience building AI/ML systems in production, with AI features that 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. You can lean backend or frontend, but you work on both: 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. You should be 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, not just API calls: 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.
- The ability to iterate and ship ideas quickly without sacrificing code quality.
- Exceptional troubleshooting skills: when something breaks in production at scale, you can diagnose it.
- Ability to keep complex systems simple. Simplicity is a core value.
- Previous remote work experience. You know how to manage your time, communicate proactively, and stay productive without supervision.
- 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 if you also have:- 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. Understanding the end user (small business owners, bloggers, ecommerce operators) is valuable context.
- 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.
BenefitsWorking for a fast-growing bootstrapped company is a rare opportunity, one we consider a lifestyle choice rather than a job choice. Our positions are challenging, but also come with amazing advantages and fulfillment to those who earn them. Here's what we offer.- Competitive Salary.
- Term Life Insurance and Accidental Death & Dismemberment for all full-time team members during their employment.
- 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. We're spread out all over the world - United States, Canada, Ukraine, India, Pakistan, Singapore, and more.
- Flexible PTO after 90 days of employment. We encourage employees to take the time they need for a vacation, stay healthy, and spend time with friends and family.
- Holidays (based on your location)
- Paid Parental Leave.
- We happily provide or reimburse software you'll need as well as books or courses that promote continued learning.
- We cover all costs of company travel (including our annual all-company retreat and mini-team meetups).
- Additional Perks include AM Welcome Box for new team members, Yearly Anniversary Gifts, and Technology Stipend each work anniversary.
- We give you the opportunity to solve challenging and meaningful problems that make a difference.
- Ability to work with some of the best people in the business through frequent, if not daily, interactions.
- And in case you were wondering: no politics, no b.s., and no jerks.
LocationThis is a remote position - our team is spread around the globe! Our home base is in Florida, USA, so company operating hours are 9am - 5pm ET (UTC -5). While full coverage is not a requirement, you must be available during a portion of the day.How to apply?If all of this sounds interesting, then please submit your application!Also note, don't forget to proofread before submitting. Check spelling, capitalization, etc. This is your chance to make your application stand out :)
We won't be able to individually respond to all applications, but if we feel you're a strong match, someone will be in touch shortly.
Thanks and we look forward to hearing from you!
