8 publicaciones de empleo destacadas en ai model optimization software (¡Están contratando!)

Senior AI Developer (Automators)
Luxoft —Desde casa
- Home Office (Desde casa)
- Inglés
- Java
- Experiencia en bases de datos
11h
Senior Software Engineer - Platform Graph
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Maestría
- Seguro dental
- Seguro de la vista
1d
Full-Stack AI Engineer
Pavago —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- SQL
- JavaScript
Postulación rápida
Data Scientist, Applied AI - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Engineering Manager - LATAM
AOA —México
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Licenciatura
Postulación rápida
Data Scientist , Amazon Music - DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Maestría
- SQL
14h
Corporate Data Engineer II, Strategy
Radian Generation —Guadalajara, Jal.
- Tiempo completo
- Microsoft Excel
- Azure
- Administración de personal
Postulación rápida
11h

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Senior AI Developer (Automators)

Luxoft -
Desde casa

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Información del empleo

Hace 11 horas

Cualificaciones

Jira
C1 Advanced
Kotlin
Derecho
Inglés
Java
Experiencia en bases de datos
Docker
Confluence
JavaScript
Bachillerato técnico o Certificación profesional técnica
S3
Desarrollo en Android
Jenkins
Bases de datos orientadas a grafos
Python
Gestión de identidades y accesos

Descripción completa del empleo

Project description

We are building and maintaining one of the largest OTT platform test automation frameworks, serving millions of customers across streaming TV platforms. The team develops a Java/Appium-based automation framework for Android TV devices and is actively expanding it with AI-powered tooling.
We are looking for a Senior AI Developer. This is a hybrid role combining the design and development of AI-powered internal tools with hands-on test automation engineering skills. The ideal candidate is a software engineer who understands both QA automation and modern LLM/RAG systems — and can translate test engineering problems into practical AI solutions.

Responsibilities

Design and implement AI-powered solutions focused on:

Automated test failure triage — LLM + RAG pipeline classifying ReportPortal failures (logs, stack traces, screenshots) into structured categories (PRODUCT_BUG, AUTOMATION_BUG, SYSTEM_ISSUE) using AWS Bedrock + Claude

AI-based Change-Based Testing (CBT) — LLM-driven test case selection using semantic similarity between code changes and test coverage

AI test case generation from feature specs, Jira tickets, and Confluence documentation

Build and maintain end-to-end RAG pipelines: document ingestion chunking embedding OpenSearch Serverless vector store retrieval LLM response generation

Develop AWS Lambda functions (Python 3.12) and API Gateway REST endpoints to integrate AI capabilities into CI/CD pipelines

Apply prompt engineering best practices (system prompts, structured JSON output, guardrails) and drive continuous evaluation of LLM solution accuracy

Use Cursor IDE with MCP integrations, agentic workflows, and context/rules files to accelerate test code generation and maintenance

Write, maintain, and expand automated test suites in Java (Appium / UiAutomator2) for Android TV platforms

Develop and maintain functional, regression, NFR, and CBT test suites

Triage and resolve test failures in ReportPortal; integrate AI triage results with QMetry (QTM4J)

Support CI/CD pipeline health — participate in Nightly Build, RC, and release automation runs via Jenkins

Contribute to framework codebase improvements — bug fixes, refactoring, enhancements

Participate in Kanban ceremonies and PI planning under the ART team

Present AI solution demos to stakeholders and engineering leadership

Document AI system architecture, RAG pipelines, and tools in Confluence

Skills

Must have

AWS Bedrock — hands-on: model access, Knowledge Bases, Lambda integration (primary AI platform)

AI agents & Agentic tooling — practical knowledge of designing and operating AI agents, including agentic workflows, reusable skills, rules/guardrails, commands, and multi-tool/multi-agent orchestration

RAG pipeline — end-to-end implementation: chunking, embedding, vector indexing, retrieval, generation

Prompt engineering — zero-shot, few-shot, chain-of-thought, structured output (JSON mode), multi-turn

Vector databases — working knowledge of OpenSearch, Pinecone, or Faiss; understands vector vs. graph DB difference

LLM guardrails — input/output filtering, hallucination mitigation strategies

Fine-tuning vs. RAG — ability to reason through which approach fits a given problem

LLM orchestration — LangChain, LangGraph, or LlamaIndex

Embeddings — understands semantic similarity; experience with Amazon Titan Embed or equivalent

Python — for Lambda functions, AI pipeline scripting, and data processing

Java — 3+ years of hands-on test automation development

Appium / UiAutomator2 — mobile/Android UI automation

Android / ADB — device management, test execution

ReportPortal or equivalent test reporting tool

REST API — concepts and hands-on usage

Jenkins / CI-CD — pipeline debugging and integration

AWS — S3, Lambda, API Gateway, IAM, OpenSearch Serverless

Docker — containerized test execution environments

Nice to have

Cursor IDE advanced features — .cursorrules, memory-bank context files, MCP server integration, and agentic triage workflows

Android TV platforms — STB / embedded device testing experience (Fire TV, Roku, or similar)

QMetry (QTM4J) — test management integrated with Jira

Streamlit — for building internal AI dashboards

DSPy — programmatic prompt optimization

AWS SageMaker / MLflow — model evaluation and experiment tracking

Kotlin — for tooling alongside Java

Other

Languages

English: C1 Advanced

Seniority

Senior

Remote Mexico, Mexico

Req. VR-123781

Domain Specific Languages

Cross Industry Solutions

16/07/2026

Req. VR-123781

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ai model optimization software empleos

Senior AI Developer (Automators)

Senior Software Engineer - Platform Graph

Full-Stack AI Engineer

Data Scientist, Applied AI - Remote

Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

Senior Engineering Manager - LATAM

Data Scientist , Amazon Music - DISCO

Corporate Data Engineer II, Strategy

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