2 дня назад
AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLM/RAG): Building production-grade AI product features with an accent on prompt engineering, retrieval systems, orchestration, and backend integration. Focus on designing agentic workflows, evaluating model quality and reliability, and deploying trustworthy AI capabilities within an AI-native software platform.
Location: San Francisco, CA, USA
Company
Series B company building AI-native software that combines large language models, workflow automation, and structured data systems to modernize business operations and decision-making.
What you will do
- Design and build LLM-powered product features using prompt engineering, structured outputs, tool usage, and function calling.
- Develop retrieval-augmented generation systems, including chunking strategies, embedding pipelines, indexing, and retrieval optimization.
- Build orchestration layers for multi-step AI workflows involving agents, tools, memory, retries, and fallback handling.
- Integrate AI systems into backend services and production infrastructure.
- Evaluate model quality, latency, hallucination rates, and operational cost to improve performance and reliability.
- Collaborate with engineering, product, and design to create intuitive, responsive AI experiences and define best practices for observability, testing, evaluation, and safety.
Requirements
- 3+ years of experience building AI-driven products, ML-enabled applications, or backend systems with AI integrations.
- Hands-on experience with modern LLM APIs and ecosystems, including OpenAI, Anthropic, or open-source models.
- Strong Python engineering skills and experience building production backend services.
- Experience designing prompts, structured outputs, and tool-based workflows for real-world applications.
- Familiarity with retrieval systems, embeddings, vector databases, and semantic search.
- Strong product instincts and the ability to work with high ownership in a fast-moving startup environment.
Nice to have
- Experience building agentic systems with planning, tools, and memory.
- Familiarity with LangChain, LlamaIndex, DSPy, or similar orchestration frameworks.
- Exposure to fine-tuning, adapters, evaluation pipelines, or synthetic data generation.
- Experience deploying AI workloads in cloud environments and monitoring production inference systems.
- Background in workflow automation, productivity software, or AI copilots.
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