Software Engineer II – AI Engineer, Deployment

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 10,001+Since 1991H1B SponsorCompany SiteLinkedIn

Location

California

Posted

3 days ago

Salary

$85K - $124K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglishCloudJavaJavaScriptPythonSDLCSQL

Job Description

Software Engineer II – AI Engineer, Deployment

Dyson

• 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

Job 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

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