5 дней назад
Generative AI Specialist
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Generative AI Specialist (LLM/AI): Defining standards, prompt patterns, agentic workflows, and LLM application architectures for production use with an accent on retrieval-augmented generation, evaluation frameworks, safety guardrails, and reusable developer tooling. Focus on designing multi-step agent systems, building evaluation and red-teaming processes, optimizing latency and cost, and mentoring teams on reliable LLM application development.
Location: 100% remote within the Continental United States
Salary: $100,000–$150,000 per year
Company
is a software development company building scalable, secure, and user-friendly solutions that help businesses automate and optimize operations.
What you will do
- Define organization-wide standards, patterns, and reference architectures for LLM-based applications.
- Design prompt structures, instruction templates, retrieval strategies, and agentic systems with tool use, planning, memory, and multi-step reasoning.
- Lead retrieval-augmented generation pipelines, including chunking, indexing, and reranking strategies.
- Develop evaluation frameworks, internal tooling, libraries, safety guardrails, and policy enforcement patterns.
- Review LLM application designs, mentor engineers and applied scientists, and collaborate on prompt-model co-design and fine-tuning.
- Lead red-teaming, improve robustness, and optimize latency, cost, and quality across production applications.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field.
- Six or more years of software engineering experience, including significant work with production LLM-based applications.
- Deep familiarity with modern LLM APIs, agent frameworks, retrieval-augmented generation, embeddings, and vector databases.
- Experience designing evaluation pipelines for non-deterministic systems and strong Python skills.
- Understanding of responsible AI, safety, and policy considerations.
- Strong communication skills and experience mentoring engineers and influencing technical direction.
Nice to have
- Public writing, talks, or open-source contributions related to LLM application development.
- Experience with multi-agent architectures, complex tool-use systems, and fine-tuning workflows.
- Experience integrating LLMs into enterprise software with strict compliance requirements.
Culture & Benefits
- Full-time direct W2 employment with .
- In-house Statement of Work engagement with no third-party client, vendor, or implementation partner.
- Fully remote work within the Continental United States.
- No C2C, 1099, or third-party arrangements.
- H1B transfers are supported for qualified candidates; no new H1B sponsorship is available.
Hiring process
- A technical coding assessment is mandatory.
- Applications should include a resume.
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