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BlackLine Logo BlackLine · IT - Software Development

Senior Software Engineer AI

United States, Pleasanton Employment contract 145000.00 - 182000.00 USD / Year · Job Posted July 03, 2026
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Job Description

We’re looking for a Senior AI/ML Engineer to design, build, and optimize data pipelines that power our next-generation AI-driven accounting agents. You’ll lead the development of scalable, high-performance data infrastructure while collaborating closely across teams.

Job Responsibility

  • Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
  • Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine’s own internal connector ecosystem
  • Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
  • Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
  • Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies

Requirements

  • 3+ years of experience with programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
  • Proficiency in containerization technologies (e.g., Docker, Kubernetes)

Nice to have

  • Proficient in scripting languages (e.g., Bash, python) for automation
  • Experience with workflow orchestration tools (e.g., Apache Airflow)
  • Expertise in managing and optimizing cloud-based infrastructure
  • Familiarity with DevOps practices and tools for automated deployment
  • Understanding of network configurations and security protocols
  • Ability to define problems, collect and analyze data, and propose innovative solutions
  • Strong critical thinking skills to evaluate models, identify limitations
  • Comfortable working in a fast-paced, rapidly evolving environment
  • Proactive in staying up to date with the latest trends, techniques, and technologies in AI/data science

What we offer

  • short-term and long-term incentive programs
  • robust offering of benefit and wellness plans
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