AI Developer

Awesome Motive, Inc.

AI Developer responsible for developing internal AI-powered tools and systems analyzing data from over 30 million sites. Collaborating with teams to improve decision-making through innovative AI solutions.

Posted 7/3/2026full-timeRemote • Florida • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesPandasPHPPythonSparkSQLWordPress

About the role

Key responsibilities & impact

Building AI-powered internal tools and data-driven systems used across the organization - analytics platforms, reporting automation, workflow intelligence.
Developing AI/ML-driven platforms that process and analyze large-scale operational data from 30M+ sites across our product suite.
Designing and deploying RAG systems, LLM-powered features, and agentic workflows that generate actionable insights for internal teams.
Building data pipelines that ingest, transform, and serve behavioral and operational data at scale.
Prototyping and shipping AI solutions that streamline internal processes, reduce manual effort, and improve decision-making.
Evaluating and selecting the right models, frameworks, and infrastructure for each use case - balancing performance, cost, and latency.
Writing clean, well-tested, production-grade Python code with proper error handling, logging, and observability.
Collaborating with product teams and stakeholders to understand what they need, then building tools they actually use.
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

What you’ll need

3+ years of professional experience building AI/ML systems in production environments (not just POCs or hackathon projects).
Strong proficiency in Python, including production-grade practices - proper packaging, testing, type hints, async where appropriate.
Hands-on experience with LLM frameworks and tools: LangChain, 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, but how models work, when to fine-tune vs prompt engineer, how to evaluate properly.
Experience building and deploying APIs (FastAPI, Flask, or similar) that serve ML models in production.
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Experience with data processing at scale - SQL, pandas, Spark, or similar.
Competent with version control through Git and GitHub. Clean commit history, proper branching, code review through PRs.
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 with model fine-tuning (PEFT, LoRA, QLoRA) and quantization techniques for cost optimization.
Experience building multi-agent systems using CrewAI, LangGraph, AutoGen, or similar frameworks.
Familiarity with MLOps practices - model versioning, drift monitoring, experiment tracking (MLflow, Weights & Biases, etc).
Experience with Databricks, AWS SageMaker, or similar ML platforms.
Published research, open-source contributions, or technical writing that demonstrates depth of understanding.
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.
Experience with MCP (Model Context Protocol), function calling, structured output, or similar LLM integration patterns.

Benefits

Comp & perks

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.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML System DevelopmentPython ProgrammingLLM FrameworksData Processing (SQL, Pandas, Spark)API Development (FastAPI, Flask)Vector Databases (Pinecone, ChromaDB)Model Fine-Tuning TechniquesVersion Control (Git, GitHub)Cloud Infrastructure (AWS, GCP, Azure)Containerization (Docker, Kubernetes)

Soft Skills

Troubleshooting SkillsProactive CommunicationTime ManagementCollaborationSimplicity in Design