AI Developer

🕒 Julho 3

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Awesome Motive, Inc.

Awesome Motive, Inc.

201 - 500 funcionários

Fundada em 2017

💼 Consultoria

📣 Marketing

Consulting • Marketing • Software

A Awesome Motive, Inc. é uma empresa de software e mídia focada em capacitar pequenas empresas a crescer e competir efetivamente com grandes corporações. Com mais de 25 milhões de sites utilizando seus produtos, a Awesome Motive oferece uma variedade de ferramentas e plugins populares para WordPress, incluindo WPBeginner, OptinMonster, MonsterInsights, WPForms e muitos outros. Essas ferramentas ajudam as empresas a aumentar seu tráfego na web, assinantes de e-mail e receita. A empresa se orgulha de seu status autossustentado, de suas ofertas inovadoras e de seu compromisso com o impacto social, demonstrado por meio de várias iniciativas educacionais e de caridade. Fundada por Syed Balkhi, a Awesome Motive é uma empresa totalmente remota com uma equipe global, dedicada a fornecer ferramentas, treinamento e suporte superiores para usuários de WordPress em todo o mundo.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.

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