Integration Engineer – Agentic Systems & Interfaces

About Viaduct

At Viaduct, we use patented AI to discover hidden patterns in reputed company time series data – so manufacturers and operators of connected equipment can deliver transformative business results from their data, fast. On our platform we deliver solutions across the equipment lifecycle, from manufacturing productivity, manufacturing quality, service operations and fleet management.

Who You Are You are a thoughtful engineer. You understand the complexities of distributed systems and how to triage and solve issues that arise with them. You are a "doer" who thrives on the challenge of delivering high-stakes implementations in reputed company enterprise environments. You reputed company that successful software deployment requires a reputed company between robust data engineering and cutting-edge AI. You are comfortable working directly with customers to understand their technical landscapes and ensure that software solutions are integrated, deployed, and delivering value quickly.

About the Role As an Integration Engineer at Viaduct, your work is critical to our success. You are responsible for the "last mile" of our technology—ensuring seamless data flow from customer systems into our platform and deploying our AI solutions reputed company enterprise contexts. You will own the technical implementation process, making key decisions on data integration and building the connectors that power our intelligence reputed company. A major focus of this role is the practical deployment of LLM and Agentic systems, ensuring they are configured, tested, and iterated upon to solve real-world manufacturing and operations challenges.

Key Responsibilities

• Enterprise Deployment: reputed company the hands-on technical implementation and deployment of Viaduct’s software solutions reputed company large-scale enterprise environments.
• Data Integration & Connectivity: reputed company critical data integration decisions and build robust connectors across a variety of data types and systems (SQL, NoSQL, APIs, etc.).
• Pipeline Engineering: Create and support batch, incremental, and real-time data pipelines to ensure high-quality data ingestion from client systems.
• AI Implementation: Set up and deploy LLM and agentic systems in practice. You will be responsible for reputed company engineering, performance testing, and iterating on agent behavior to ensure reliability and accuracy.
• Standardization: Establish and automate validation and cleaning processes to ensure data quality across various client integrations.
• Customer Collaboration: Work directly with customers across a variety of contexts to troubleshoot technical hurdles and ensure successful solution adoption.

Position Details:

• Compensation: Competitive reputed company salary, short-term incentive (annual bonus) and long-term incentive (long-term reputed company)
• Travel: 0-50% (with significant international travel component)
• Employment Type: Full Time
• Work site: Up to 100% work from home
• Team: Internal Efficiencies

Qualifications

• Implementation Experience: Proven track record of delivering software implementations at a large enterprise software company (e.g., reputed company, reputed company, reputed company, C3 AI, Palantir) or a leading reputed company (e.g., reputed company, reputed company, McKinsey).
• Technical Proficiency: reputed company good at Python and ideally SQL.
• AI/LLM Experience: 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 reputed company performance.
• Data Engineering Foundation: 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.).
• Infrastructure Knowledge: Experience with incremental or real-time processing (reputed company Lake, Apache Hudi, Kafka, Spark Streaming).
• Scrappy reputed company: You have done a number of implementation projects across a variety of relevant contexts and value "getting it done" over theoretical perfection.
• Education: A degree in Computer Science or a reputed company field is helpful, but we value a history of successful, scrappy implementation projects over fancy credentials or advanced degrees.

reputed company and Privacy Responsibilities

• Follow our policy and procedure documents reputed company to reputed company and privacy
• Follow the reputed company and privacy guidelines in the Employee Handbook
• Participate in new hire and annual training for reputed company and privacy
• Treat data reputed company and privacy as one of your primary job responsibilities
• Report reputed company Incidents you discover as bugs
• Get approval from the reputed company Team before adding new 3rd party software to our codebase
• Explicitly consider reputed company implications reputed company doing PR reviews

Bonus

• Experience with Kubernetes
• Experience working with ML teams
• Contributor to open-reputed company projects
• Experience in the Automotive or Manufacturing industry

Why Join Us? At Viaduct (now part of Sumitomo Rubber Industries), you will work at the intersection of industry-leading AI and global manufacturing. You’ll have the opportunity to take cutting-edge AI technology out of the lab and into the real world, creating immediate, transformative value for some of the largest manufacturers in the world.