[Hiring] Implementation Engineer @Truelogic

Role Description

We are looking for an Implementation Engineer to own technical implementation workstreams from initial scoping through go-live. In this role, you will build and configure integrations between an AI-powered platform and the tools and systems used by agencies and enterprise customers, working across APIs, data systems, cloud technologies, and evolving AI workflows.

The ideal candidate is a technically strong problem-solver who can:

• Work independently on complex implementations
• Communicate effectively with both technical and non-technical stakeholders
• Operate comfortably in ambiguous, fast-changing environments

You will also leverage AI-enabled development tools and agent-driven workflows to:

• Accelerate implementation, automation, debugging, and operational tasks
• Ensure solutions remain secure, scalable, maintainable, and aligned with the broader architecture

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.
• Support the development of repeatable implementation playbooks, technical documentation, training materials, and onboarding processes.
• Help onboard and informally mentor junior implementation engineers.
• Leverage AI-enabled development tools and workflows for engineering, automation, debugging, and operational tasks.
• Orchestrate multi-step AI and agent-driven workflows, selecting appropriate models, tools, and execution patterns for different use cases.
• Review and harden AI-assisted outputs to ensure security, scalability, maintainability, reliability, and architectural fit.
• Support prompts, evaluation frameworks, documentation, and operational context systems that improve engineering velocity and reliability.
• Contribute to automated evaluation and feedback loops for AI-enabled systems and workflows.
• Stay current with evolving platform capabilities, APIs, integration patterns, and AI tooling to continuously improve implementation practices.

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 working in ambiguous environments and adapting to rapidly evolving requirements and priorities.
• Strong problem-solving skills and a growth mindset, with a demonstrated commitment to continuously improving technical skills.
• Comfortable using AI-enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks.
• Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns based on the use case.
• Strong judgment when reviewing and hardening AI-assisted outputs, with consideration for security, scalability, maintainability, reliability, and architectural fit.
• Experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems that improve engineering velocity and reliability.
• Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows.

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.