AI Integration Engineer

Kwish Technologies Limited; United States; Remote; USD 90,000 - 140,000; Full time

Job summary

Kwish Technologies Limited is seeking an experienced specialist to integrate AI services with enterprise systems and build robust data pipelines for model inputs. The role focuses on ensuring dependable deployments across diverse environments, including legacy data and live production settings.

You will instrument deployments to monitor accuracy, latency, and cost, and deliver comprehensive operational documentation while training client IT teams for ongoing operation and handover.

Qualifications

• Prior experience integrating AI services with enterprise systems such as ERPs, databases, APIs, or government platforms.
• Ability to build and maintain data pipelines across varied source systems.
• Experience handling data quality work, including cleaning and reconciliation of legacy records.
• Familiarity with measuring deployed systems for accuracy, latency, and cost.
• Ability to produce operational documentation and train client technical teams.

Responsibilities

• Connect AI services to enterprise resource planning systems, registries, and business databases while protecting ongoing operations.
• Design and maintain data pipelines that prepare model inputs.
• Clean and reconcile records from legacy systems.
• Instrument deployments to track model accuracy, response time, and operating cost from launch.
• Document the system and train client IT teams to operate it after handover.

Skills

AI integration

Data pipeline development

Data cleaning & reconciliation

System monitoring & performance

Technical documentation

Tools

ERP systems

APIs

Government platforms

Job description

Role overview

Build the integration and data foundations that connect AI services with enterprise and public-sector systems. The role focuses on dependable deployments across varied organizations, including systems with legacy data and live operational requirements.

Responsibilities

• Connect AI services to enterprise resource planning systems, registries, and business databases while protecting ongoing operations.
• Design and maintain data pipelines that prepare model inputs.
• Clean and reconcile records from legacy systems.
• Instrument deployments to track model accuracy, response time, and operating cost from launch.
• Document the system and train client IT teams to operate it after handover.

Requirements

• Prior experience integrating AI services with enterprise systems such as ERPs, databases, APIs, or government platforms.
• Ability to build and maintain data pipelines across varied source systems.
• Experience handling data quality work, including cleaning and reconciliation of legacy records.
• Familiarity with measuring deployed systems for accuracy, latency, and cost.
• Ability to produce operational documentation and train client technical teams.