5 publicaciones de empleo destacadas de senior full stack engineer java, react 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
Principal Engineer - Data Infrastructure
Sezzle —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
Python Tech Lead
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Experiencia en bases de datos
- Plan de adquisición de acciones empresariales
Consultant, Power Platform
Engineer Up —Desde casa
- Home Office (Desde casa)
- Inglés
- SQL
- JavaScript
Postulación rápida
12d
AEM Performance Tester (Mexico-remote)
Blue Acorn iCi —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Contratos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo

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Principal Engineer - Data Infrastructure
Sezzle —Desde casa
Evaluate and integrate new technologies, guiding the evolution of Sezzle's data infrastructure. For this principal development role, with 12+ years of…

Quiero recibir la alerta de empleo más reciente para senior full stack engineer java, react en desde casa

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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

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Principal Engineer - Data Infrastructure

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