10 часов назад
Agentic AI, Senior Software Development Engineer
160 900 - 257 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Agentic AI, Senior Software Development Engineer (Agentic AI and backend systems): Building scalable evaluation frameworks, tracing systems, observability tools, and feedback loops for production AI agents with an accent on reliability, quality measurement, and platform infrastructure. Focus on integrating LLM evaluation capabilities, optimizing cost and latency, and solving complex scalability and trustworthiness challenges.
Location: Remote within the United States; employees may live in any of the 50 states, with limited exceptions.
Salary: $160,900–$257,100 annually in specified states, or $152,900–$244,300 annually in another specified group of states. The role is also eligible for equity awards.
Company
is a U.S. real estate platform helping customers buy, sell, finance, and rent homes.
What you will do
- Design, build, and scale evaluation frameworks for agentic AI experiences.
- Build tracing, observability, and quality measurement systems for production AI agents.
- Create platform infrastructure and developer-facing services for domain teams across .
- Partner with applied scientists and machine learning engineers to integrate AI evaluation capabilities into production systems.
- Improve measurement of AI quality, reliability, trustworthiness, and product impact.
- Support scaling, performance optimization, incident response, reliability, and cost management for the evaluation layer.
Requirements
- 4+ years of backend engineering experience designing, shipping, and operating scalable production ML services.
- Experience building platform infrastructure or developer-facing services used by multiple teams, including APIs, reliability, and internal customer experience.
- Hands-on experience with ML evaluation and observability frameworks such as Databricks MLflow, LangSmith, Braintrust, Promptfoo, or similar tools.
- Comfort working with LLMs, agentic systems, evaluation frameworks, and orchestration tools such as LangChain, LangGraph, MCP, or similar.
- Experience evaluating third-party AI platforms and making build-versus-buy decisions for platform infrastructure.
- Ability to collaborate across applied science, machine learning, product, design, and engineering disciplines.
Nice to have
- Advanced degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- Experience with frontier LLMs, multimodal models, or agent-based systems.
- Experience designing and operating offline batch evaluation, online scoring, and feedback pipelines.
Culture & Benefits
- Remote work from a physical location of choice within the United States.
- Equity awards based on experience, performance, and location.
- Customer-focused work on AI systems used in a large-scale real estate platform.
- Innovative and inclusive environment with opportunities for professional growth.
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