2 months ago
Wrocław, PolandSenior
Responsibilities
- Design, build, deploy, and maintain production LLM agents, machine learning models, and services.
- Develop data preparation pipelines, prompt and tool designs, and agentic workflows.
- Write high-quality, maintainable, and well-tested Python code for production systems.
- Collaborate with Product, Software Engineering, Data, and Infrastructure teams to develop ML-powered capabilities.
- Evaluate and improve agent quality through offline and online metrics, evaluation sets, experiments, and feedback loops.
- Monitor production ML systems for quality, reliability, latency, cost, and data or model drift, and resolve issues.
- Contribute to scalable services and pipelines supporting real-time and batch ML workloads.
- Create technical designs, documentation, tests, and operational runbooks.
- Share knowledge, contribute to engineering practices, and participate in on-call production support.
Requirements
- At least 3 years of experience building, deploying, or operating production software, data, or machine learning systems.
- Strong Python programming skills and experience writing production-grade, readable, testable, and maintainable code.
- Practical experience with LLM-based agent lifecycles, including data and evaluation-set preparation, prompting, tool schemas, RAG, evaluation, deployment, and monitoring.
- Experience with LLM application frameworks and libraries such as LangChain, LangGraph, PyTorch, Pydantic, Pandas, or NumPy, and experience calling LLM APIs such as Gemini, Claude, or OpenAI.
- Understanding of core machine learning concepts and trade-offs involving model performance, reliability, latency, scalability, and cost.
- Experience building APIs, services, pipelines, or distributed systems in a cloud environment.
- Familiarity with CI/CD, observability, testing, and production support practices.
- Preferred experience with MLOps tooling, model monitoring, feature stores, workflow orchestration, or experiment tracking.
- Preferred experience with generative AI in production, multimodal intelligent document processing, major cloud platforms, Kubernetes, Terraform, SQL, or BigQuery.
- Preferred experience in enterprise software, security, search and retrieval, content intelligence, mentoring, or technical direction.
Benefits
- Hybrid work arrangement requiring at least three days per week in the assigned office.
- Participation in an on-call rotation and production support responsibilities.
- General perks and benefits are provided through Box's Life at Box benefits program.
Categories
About Box
Box builds a cloud content management platform for enterprises, combining secure file storage and sharing with collaboration, governance, e-signature, and workflow automation. It sells subscriptions (SaaS) to organizations that need to manage the lifecycle of business content and integrate with productivity apps. Founded in 2005 and headquartered in Redwood City, CA, Box is a public company (NYSE: BOX) used by customers such as JLL, Morgan Stanley, and Nationwide.