Software Engineer II – AI Engineer, Deployment

Vaga não está no LinkedIn

🕒 Julho 8

🏄 California – Remoto

🏄 California – Remote

💵 $85.000 - $124.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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Dyson

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1991

🔧 Hardware

🏭 Manufatura

🛒 Varejo

Hardware • Manufacturing • Retail

A Dyson é uma empresa de tecnologia única, conhecida por sua inovação e superioridade em engenharia. Originária de uma pequena oficina na zona rural da Inglaterra, a Dyson cresceu e se tornou uma potência global com escritórios em todo o mundo, de Auckland a Zurique, de Xangai a Chicago. O núcleo da empresa gira em torno da engenharia, mas se estende para pioneirismo em diversos setores tecnológicos, incluindo armazenamento de energia, robótica e aprendizado de máquina. Os produtos da Dyson são renomados por sua qualidade e inovação, com um forte foco em design e desenvolvimento, que se reflete em seus escritórios globais vibrantes.

Descrição

• Analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies • Contribute to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences • Support SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring • Interact with users to define requirements and support applications in production • Develop and modify application modules, including GenAI components • Build prompt workflows, retrieval layers, APIs, and cloud services • Troubleshoot production issues, including latency, hallucinations, and errors • Provide Level II production support for deployed systems • Design components, including LLM integrations and RAG pipelines • Implement CI/CD pipelines, containerization, and release processes • Develop RAG pipelines with embeddings, chunking, and vector search • Apply prompt engineering techniques, including few-shot prompting and structured outputs • Evaluate models for accuracy, relevance, and hallucination risk • Implement safety guardrails, including PII protection and prompt-injection defense • Execute testing, including unit, integration, and GenAI evaluation testing • Monitor production systems for latency, cost, usage, and errors • Support incident management with fallback and recovery strategies

🎯 Requisitos

• 4+ years of experience in IT or a related field • 2+ years of software engineering experience • 1+ year of experience in GenAI deployment • Experience with AI coding agent–augmented development • Experience with cost optimization, including token and caching strategies • Experience with Python, Java, C#, JavaScript, or SQL • Knowledge of cloud platforms, containers, and CI/CD • Understanding of SDLC, APIs, and system architecture • Knowledge of databases and data integration • Understanding of LLM fundamentals and token behavior • Experience with LLMOps/MLOps, including versioning and experiment tracking • Experience with prompt engineering techniques • Knowledge of deployment governance, including access control and compliance • Experience with observability, including logging, tracing, and monitoring • Strong communication and requirements-gathering skills

🏖️ Benefícios

• group health insurance benefits (medical, vision, dental) • FSA and HSA healthcare accounts • life and accident insurance • adoption and fertility assistance • paid parental leave of up to 6 weeks • short/long term disability • paid time off for vacation, personal needs, and sick time • up to 17 days of Choice Time Off (CTO) per calendar year • up to 11 paid holidays per calendar year • employer match of 100% on the first 3% of your contributions for eligible employees