9 publicaciones de empleo destacadas en embedded software engineer (¡Están contratando!)

Senior AI Developer (Automators)
Luxoft —Desde casa
- Home Office (Desde casa)
- Inglés
- Java
- Experiencia en bases de datos
5h
Functional Safety Systems Integration Engineer
Clarios —San Pedro Garza García, N. L.
- Tiempo completo
- Administración de personal
Software Supplier Manager
Aptiv plc —Monterrey, N. L.
- Administración de personal
- Informática
- Maestría
- Seguro de vida
Senior Product Manager (Remote)
Trivelta —Desde casa
- Home Office (Desde casa)
- Inglés
Postulación rápida
Staff QA Software Engineer
OpenMined —México
- Tiempo completo
- Home Office (Desde casa)
- Licenciatura
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Forward Deployment Engineer
DBSync Inc —México
- Turno de 8 horas
- Home Office (Desde casa)
- Microsoft Excel
- Informática
- Salesforce
Postulación rápida
2d
Full Stack Engineer
Pavago —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- JavaScript
- Python
Postulación rápida
Senior Android Engineer - LATAM
AOA —México
- Home Office (Desde casa)
- Administración de personal
- Inglés
- C++
Postulación rápida
2710 - Electronic Hardware Design & Release Engineer ADV
ALTEN MÉXICO —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- C++
Postulación rápida

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Senior AI Developer (Automators)

Luxoft -
Desde casa

Postúlate ahora

Información del empleo

Hace 5 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

15/07/2026

Req. VR-123781

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embedded software engineer empleos

Senior AI Developer (Automators)

Functional Safety Systems Integration Engineer

Software Supplier Manager

Senior Product Manager (Remote)

Staff QA Software Engineer

Forward Deployment Engineer

Full Stack Engineer

Senior Android Engineer - LATAM

2710 - Electronic Hardware Design & Release Engineer ADV

Other jobs to consider

Quiero recibir la alerta de empleo más reciente para embedded software engineer

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