Mandatory Skills Description:
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 orchestratio
nRAG pipeline — end-to-end implementation: chunking, embedding, vector indexing, retrieval, generatio
nPrompt engineering — zero-shot, few-shot, chain-of-thought, structured output (JSON mode), multi-tur
nVector databases — working knowledge of OpenSearch, Pinecone, or Faiss; understands vector vs. graph DB differenc
eLLM guardrails — input/output filtering, hallucination mitigation strategie
sFine-tuning vs. RAG — ability to reason through which approach fits a given proble
mLLM orchestration — LangChain, LangGraph, or LlamaInde
xEmbeddings — understands semantic similarity; experience with Amazon Titan Embed or equivalen
tPython — for Lambda functions, AI pipeline scripting, and data processin
gJava — 3+ years of hands-on test automation developmen
tAppium / UiAutomator2 — mobile/Android UI automatio
nAndroid / ADB — device management, test executio
nReportPortal or equivalent test reporting too
lREST API — concepts and hands-on usag
eJenkins / CI-CD — pipeline debugging and integratio
nAWS — S3, Lambda, API Gateway, IAM, OpenSearch Serverles
sDocker — containerized test execution environment
s
Project Descripti
on:
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 tool
ing.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 idóneo candidate is a software engineer who understands both
📌 Senior AI Developer (México)
🏢 Luxoft
📍 México