Software Engineer II – AI Engineer, Deployment

🕒 July 8

🏄 California – Remote

🏄 California – Remote

💵 $85k - $124k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robert Half

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1948

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Robert Half is a global professional staffing and recruiting firm that connects employers with contract and full-time talent across functions such as finance & accounting, technology, marketing & creative, legal, and administrative support. The company provides executive search, consulting solutions, and localized recruiting through 300+ locations worldwide, and it leverages proprietary and award‑winning AI tools and labor‑market insights (salary guides, market reports, hiring trends) to match candidates and advise hiring managers. Robert Half serves employers with B2B staffing solutions while also supporting job seekers with placement services and career resources.

📋 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