20 publicaciones de empleo destacadas de ai / analytics engineer en desde casa (¡Están contratando!)

AI Platform Engineer
Blankspace Inc —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
Full-Stack Engineer Python+React
Code&care —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Python
- Días por enfermedad
Postulación rápida
16h
Senior AI Systems Engineer - Part-time
Bloom Digitals —Desde casa
- $17,000 por mes
- Medio tiempo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Análisis de datos
Postulación rápida
7d
AI Engineer Fellowship - Mexico
LunarTech —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Python
Postulación rápida
Lead Database AI Platform Engineer
FICO —Desde casa
- Incluye fines de semana
- Home Office (Desde casa)
4d
Data Engineer
IDT —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Oracle
- Análisis de datos
Postulación rápida
Senior AI/ML Engineer
TechCXO —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Doctorado
- Informática
- Inglés
Postulación rápida
Senior Data/ML Engineer
IDT —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
Postulación rápida
8h
L2 Support Engineer - Web Applications
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Java
- Experiencia en bases de datos
AI Software Engineering Teaching Experts
TripleTen —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- JavaScript
- Experiencia en enseñanza
Postulación rápida
Core Services Data Operations - Lead Engineer
FICO —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Java
- JavaScript
1d
Cloud Data Engineer – Azure, Fabric & Databricks
Inviso —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
Senior Engineer- Generative AI & ML
Confiz —Desde casa
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
Postulación rápida
Senior Software Engineer, Platform Engineering (Go)
CommandLink —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
Postulación rápida
9d
Data Analyst
Fusemachines —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Maestría
- SQL
1d
Database Engineering - Associate
FICO —Desde casa
- Incluye fines de semana
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Java
Growth Engineer
Improvado —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
2d
Senior Data Engineer & Cloud (AWS)
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
8d
Software Engineer, Go
CommandLink —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
Postulación rápida
9d
Lead Python Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Desarrollo de software
- Python
- Vacaciones adicionales o permisos con goce de sueldo
9d

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AI Platform Engineer

Blankspace Inc
Desde casa

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Derecho
React
Slack
Microsoft SQL Server
Git
Inglés
E-commerce
Experiencia en bases de datos
SQL
JavaScript
SQL Server Management Studio
Desarrollo de software
TypeScript
Python

Descripción completa del empleo

We are building Ava, an in-house AI platform that transforms how our agency operates. Ava combines our proprietary data warehouse (SQL Server with daily Amazon metrics across all clients) with AI agents that automate analysis, generate reports, enforce compliance, and provide strategic recommendations. Our goal: scale from 14 to 40 clients while reducing headcount per client – only possible through intelligent automation.

This is not a typical development role. You will be building the AI infrastructure that powers a next-generation Amazon agency.

Core Responsibilities

Immediate (Month 1–2)

Finish and deploy our Next.js analytics dashboard (Polaris) – client-facing pages for Customers, Subscribe & Save, and Lifetime Value, powered by SQL Server
Set up a vector database and RAG pipeline to unify our unstructured knowledge (SOPs, analysis frameworks, compliance documents, meeting transcripts) so AI agents can pull the right context instantly
Deploy the platform to production so clients can access their dashboards

Near-Term (Month 3–4)

Build production AI agents from our library of 35+ detailed agent specifications – these handle listing optimization, competitive analysis, keyword strategy, compliance checking, and client reporting
Implement agent-to-agent handoff systems where one agent’s output feeds into the next (e.g., Semantic Strategist → Listing Optimizer → Compliance Checker)
Build automated alerting – Buy Box monitoring, inventory warnings, performance anomalies – delivered via Slack or email

Growth (Month 5+)

Automated client reporting (daily/weekly performance summaries generated from SQL data)
Client onboarding automation (call transcripts → task generation)
Monthly Business Review deck generation
Model fine-tuning and optimization as agent usage scales

Required Skills

3–5 years of professional software development experience
Python – you’ll build AI pipelines, data processing scripts, and backend services
TypeScript / Next.js / React – our dashboard platform runs on Next.js with Server Components
SQL – comfortable writing complex queries against SQL Server (our data warehouse has 50+ tables)
LLM API integration – production experience with Claude API, OpenAI API, or similar. Not just calling an API – building reliable systems with error handling, token management, prompt versioning
Vector databases and RAG – experience with Pinecone, Weaviate, ChromaDB, pgvector, or similar. Understanding of embeddings, chunking strategies, and retrieval quality
Agent architectures – building multi-step AI workflows with tool use, validation gates, and state management

Nice-to-Have

Experience with Amazon SP-API or Amazon Seller Central data
ML fundamentals (fine-tuning, classification, embeddings beyond RAG)
Cloud deployment (Vercel, AWS, or similar)
Experience in an agency or e-commerce environment
Familiarity with MCP (Model Context Protocol) servers

What We’re NOT Looking For

RPA tool specialists (UiPath, Blue Prism, Automation Anywhere)
Pure data scientists who don’t build production systems
Frontend-only developers with no AI/backend experience
People who need detailed tickets – you’ll get requirements in plain English and figure out the technical approach

Work Details

Location: Remote. Preference for Indonesia, Philippines, or Latin America
Hours: Full-time (40 hrs/week) – some overlap with US Eastern Time required for team syncs
Compensation: Competitive, based on experience. Please include your rate expectations in your application
Tools: Claude Code, VS Code, Git, SQL Server Management Studio, Slack

How to Apply

Submit the following:

Resume or portfolio highlighting AI/ML and full-stack projects you’ve built
Brief note (2–3 paragraphs) on why this role interests you and what you’d bring to it

Kindly submit your application at [email protected], using the subject line: Applicant – AI Platform Engineer.

Job Type: Full-time

Application Question(s):

Before we proceed, we'd like to know if you speak English fluently? Also, could you let me know your timezone? This information will help me schedule your interview.

Work Location: Remote

Postulación rápida

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