Remote AI-Driven Implementation Engineer

Truelogic; United States; Remote; USD 90,000 - 140,000; Full time

Benefits offered by this job

100% Remote Work

Competitive USD Pay

Paid Time Off

Autonomy

Work with Top American Companies

Job summary

Truelogic is seeking an Implementation Engineer to own end-to-end technical workstreams, from scoping to go-live, building integrations between an AI-powered platform and agency/customer tools. You’ll work across APIs, data systems, cloud technologies, and evolving AI workflows.

The ideal candidate has 2–5 years in similar roles, strong API, data, and cloud experience, and excellent communication with technical and non-technical stakeholders.

Qualifications

• 2–5 years of experience in implementation engineering, solutions engineering, technical delivery, or a related technical role, ideally within SaaS, data, analytics, or technology environments.
• Working knowledge of APIs, data systems, integrations, and cloud-based architectures such as Google Cloud, Azure, or similar platforms.
• Demonstrated ability to independently deliver high-quality technical implementation work on complex projects.
• Strong communication skills, with the ability to clearly present technical work, recommendations, and reasoning to both technical and non-technical audiences.
• Experience collaborating with cross-functional teams across Product, Engineering, and other business or client-facing functions.
• Comfortable using AI-enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks.

Responsibilities

• Own implementation workstreams end-to-end, from technical scoping and planning through configuration, testing, and go-live.
• Build and configure integrations between the platform and tools used by agencies and customers, including Figma, Slack, Microsoft Teams, Adobe, and performance dashboards.
• Evaluate integration approaches, data mappings, configuration requirements, and technical trade-offs, providing well-reasoned recommendations.
• Collaborate closely with Product, Engineering, and agency stakeholders throughout implementation and rollout activities.
• Identify and proactively communicate technical risks, blockers, dependencies, and trade-offs.
• Understand customer and agency data environments, workflows, and pain points to help design tailored onboarding and implementation solutions.

Skills

APIs

Data integration

Cloud architectures

Cross-functional collaboration

Problem solving

AI-enabled development tools

Agent-driven workflows

Effective communication

Tools

Google Cloud

Azure

Job description

Truelogic is seeking an Implementation Engineer to own end-to-end technical workstreams, from scoping to go-live, building integrations between an AI-powered platform and agency/customer tools. You’ll work across APIs, data systems, cloud technologies, and evolving AI workflows.

The ideal candidate has 2–5 years in similar roles, strong API, data, and cloud experience, and excellent communication with technical and non-technical stakeholders.