Integration Engineer – Agentic Systems, Interfaces
Job Description:
• 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.
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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• 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.
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
Apply tot his job
Apply To this Job