Overview
We're looking for a Software Engineer, AI/ML Ops 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.
Responsibilities:
- 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
Responsibilities
We're looking for a Software Engineer, AI/ML Ops 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.
Responsibilities:
- 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
Qualifications
- 2+ 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).
Salary RangeUSD $145,000.00/Yr. - USD $182,000.00/Yr.Employee Referral Bonus Amount$1,000Employment Type: FULL_TIME