2 дня назад
AI Engineer (Cortex Code Quality)
160 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Cortex Code Quality): Building the future of coding agents for working with data with an accent on designing, prompt/tool engineering, evals, deployment, measurement, and optimization. Focus on building agentic workflows, coding harnesses, and evaluation pipelines.
Location: Menlo Park, CA (USA)
Salary: $160,000 - $230,000
Company
is the AI Data Cloud trusted by the world's most innovative companies.
What you will do
- Own features end-to-end for Cortex Code products.
- Build enterprise-grade context engineering: function calling, tool schemas, guardrails, agent teams, and verification/repair.
- Design evals and hillclimb: create golden sets, create rubrics and metrics, analyze errors, run experiments to hill climb on the metrics.
- Partner with product and infra: translate customer problems into products and experiments.
- Collaborate with infrastructure teams to productionize improvements.
- Work with an elite team of engineers towards building great products.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics or a related field.
- 5+ years of experience shipping AI features in production.
- Proficiency in programming languages such as Python, Typescript, Go
- Strong communication skills and ability to collaborate effectively in a team environment.
Nice to have
- Deep experience with agentic coding tools (e.g. IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
- Background in data engineering (dbt, Airflow), data modeling, analytics, retrieval / RAG, or semantic layers — highly relevant for data-centric coding agents.
- Prior work on eval harnesses, LLM observability, or safety / guardrails in production.
Culture & Benefits
- Culture that’s all in on impact, innovation, and collaboration.
- Opportunity to build big, move fast, and take technology — and careers — to the next level.
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