Software Engineer II – AI Engineer, Deployment

Job not on LinkedIn

🔥 12 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $85k - $124k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Dyson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1991

🔧 Hardware

🛒 Retail

Hardware • Manufacturing • Retail

Dyson is a unique technology enterprise known for its innovation and engineering superiority. Originating from a small workshop in rural England, Dyson has grown into a global powerhouse with offices worldwide, from Auckland to Zurich, Shanghai to Chicago. The company's core revolves around engineering but extends to pioneering in diverse technology sectors, including energy storage, robotics, and machine learning. Dyson's products are renowned for quality and innovation, with a strong focus on design and development, which reflects across their vibrant global offices.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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