обновлено 14 часов назад
Software Engineer, AI/ML
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, AI/ML (LLMs/RAG): Building scalable AI features for an agentic team chat platform with an accent on large language models, retrieval-augmented generation, and production ML infrastructure. Focus on designing RAG pipelines, evaluating model behavior, reducing latency and cost, and shipping resilient generative AI systems.
Location: San Francisco, CA — on-site at the headquarters
Company
Builds an agentic team chat platform where AI agents and people collaborate, integrating leading AI models and thousands of applications through MCP.
What you will do
- Build and ship AI-powered features across data ingestion, model integration, serving, and monitoring.
- Prototype prompts and pipelines, then develop them into reliable production systems.
- Design and optimize RAG systems, including chunking, hybrid retrieval, vector store tuning, and relevance optimization.
- Evaluate model performance and behavior using quality metrics and evaluation tooling.
- Collaborate with engineering, product, and design to deliver measurable user experiences.
Requirements
- 5+ years of engineering experience, ideally including ML, NLP, or applied AI.
- 2+ years of hands-on experience with LLMs, transformers, and production generative AI systems.
- 2+ years of experience with a server-side language such as Go, TypeScript, or Python.
- Production experience building resilient ML-powered features and handling latency, cost, edge cases, and prompt brittleness.
- Experience building RAG systems with LangChain, LlamaIndex, or custom stacks.
Nice to have
- Experience with multimodal inputs, fine-tuning open models, or agent-style orchestration.
- Familiarity with Braintrust, Promptfoo, or similar evaluation tools.
- Maintaining side projects or libraries.
Culture & Benefits
- Work in an early-stage, fast-moving environment on an ambitious AI product.
- Competitive salary with significant equity.
- Generous healthcare package.
- Equipment provided for the role.
- Flexible vacation policy focused on sustainable work.
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