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Описание вакансии
Текст:
Hirify AI/Оригинал
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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