Machine learning platform to empower OEMs and their partners to make vehicles safer, more reliable, and personalized.
Integration Engineer – Agentic Systems, Interfaces
Location
California
Posted
63 days ago
Salary
0
Seniority
Senior
Job Description
Integration Engineer – Agentic Systems, Interfaces
Viaduct
• Lead the hands-on technical implementation and deployment of Viaduct’s software solutions within large-scale enterprise environments. • Make critical data integration decisions and build robust connectors across a variety of data types and systems (SQL, NoSQL, APIs, etc.). • Create and support batch, incremental, and real-time data pipelines to ensure high-quality data ingestion from client systems. • Set up and deploy LLM and agentic systems in practice. You will be responsible for prompt engineering, performance testing, and iterating on agent behavior to ensure reliability and accuracy. • Establish and automate validation and cleaning processes to ensure data quality across various client integrations. • Work directly with customers across a variety of contexts to troubleshoot technical hurdles and ensure successful solution adoption.
Job Requirements
- Proven track record of delivering software implementations at a large enterprise software company (e.g., Salesforce, ServiceNow, Oracle, C3 AI, Palantir) or a leading consulting firm (e.g., Accenture, Deloitte, McKinsey).
- Very good at Python and ideally SQL.
- Direct experience setting up and deploying LLM-based systems and agentic frameworks in practical, real-world settings. You know how to test and iterate on prompt performance.
- 4+ years of experience in data engineering or implementations, including experience with workflow schedulers (Airflow, Prefect, Argo, etc.) and distributed file systems (S3, HDFS, etc.).
- Experience with incremental or real-time processing (Delta Lake, Apache Hudi, Kafka, Spark Streaming).
- You have done a number of implementation projects across a variety of relevant contexts and value "getting it done" over theoretical perfection.
- A degree in Computer Science or a related field is helpful, but we value a history of successful, scrappy implementation projects over fancy credentials or advanced degrees.
Benefits
- Competitive base salary
- Short-term incentive (annual bonus)
- Long-term incentive (long-term upside)
- Up to 100% work from home
- Significant international travel component
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