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3 дня назад

AI Engineer II (Generative AI)

85 000 - 124 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Engineer II (Generative AI): Building and deploying LLM-powered workflows, RAG pipelines, APIs, and AI-driven user experiences with an accent on prompt engineering, model evaluation, safety, and production observability. Focus on designing retrieval and vector-search systems, defending against hallucinations and prompt injection, optimizing token and caching costs, and supporting reliable production deployments.

Location: Remote; San Ramon, CA

Annual salary: $85,000–$124,000, negotiable based on experience and location; discretionary annual bonus eligible.

Company

hirify.global provides corporate and professional staffing services and is hiring for its Corporate Services facility.

What you will do

  • Develop, deploy, and support GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, APIs, cloud services, and AI-driven user experiences.
  • Design retrieval layers with embeddings, chunking, vector search, prompt workflows, LLM integrations, and model orchestration.
  • Implement CI/CD pipelines, containerization, release processes, testing, deployment governance, and production support.
  • Evaluate models for accuracy, relevance, hallucination risk, and cost; optimize tokens and caching.
  • Implement safety guardrails including PII protection and prompt-injection defense.
  • Monitor and troubleshoot production systems for latency, cost, usage, errors, incidents, fallback, and recovery.

Requirements

  • 4+ years of experience in IT or a related field, including 2+ years of software engineering experience and 1+ year of GenAI deployment experience.
  • Experience with AI coding agent-augmented development, application building and deployment, and cost optimization using token and caching strategies.
  • Experience with Python, Java, C#, JavaScript, or SQL.
  • Knowledge of cloud platforms, containers, CI/CD, SDLC, APIs, system architecture, databases, and data integration.
  • Understanding of LLM fundamentals and token behavior; experience with prompt engineering and RAG pipelines including embeddings and vector search.
  • Experience with LLMOps/MLOps, versioning, experiment tracking, evaluation metrics, observability, logging, tracing, and monitoring.
  • Knowledge of GenAI debugging, safety mechanisms, deployment governance, access control, and compliance.
  • Experience with Azure, AWS, or GCP.
  • Strong communication and requirements-gathering skills.

Nice to have

  • Experience with model orchestration, multi-step workflows, agents, LangChain, Semantic Kernel, or AutoGen.
  • Experience designing embeddings and semantic search solutions.
  • Experience with experimentation and A/B testing of prompts and models.
  • Experience with conversational UX and human-AI interaction design.
  • Experience with incident handling, retries, and graceful degradation.

Culture & Benefits

  • Remote work arrangement.
  • Medical, vision, and dental insurance; FSA and HSA healthcare accounts.
  • Life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short- and long-term disability coverage.
  • Paid vacation, personal, and sick time; up to 17 days of Choice Time Off per calendar year for new hires and up to 11 paid holidays.
  • Eligible employees may contribute to a 401(k) or deferred compensation plan, with a 100% employer match on the first 3% of contributions.
  • Employment offers are contingent upon successful completion of a background check.

Hiring process

  • Successful completion of a background check is required after an offer.
  • Applicants needing reasonable accommodation must provide the requested accommodation and the city and state of the intended application location.

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