Implementation Engineer – Technology Industry

Job not on LinkedIn

🔥 1 hour ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🛠️ Implementation Specialist

🚫👨‍🎓 No degree required

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Truelogic Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

📋 Description

• 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 recommendations. • Collaborate with Product, Engineering, and agency stakeholders throughout implementation and rollout. • Identify and communicate technical risks, blockers, dependencies, and trade-offs. • Understand customer and agency data environments, workflows, and pain points to design tailored onboarding and implementation solutions. • Support repeatable implementation playbooks, technical documentation, training materials, and onboarding processes. • Help onboard and informally mentor junior implementation engineers. • Leverage AI-enabled development tools and agent-driven workflows for engineering, automation, debugging, and operational tasks. • Orchestrate multi-step AI and agent-driven workflows, selecting appropriate models, tools, and execution patterns. • Review and harden AI-assisted outputs for security, scalability, maintainability, reliability, and architectural fit. • Support prompts, evaluation frameworks, documentation, and operational context systems. • Contribute to automated evaluation and feedback loops for AI-enabled systems and workflows. • Stay current with platform capabilities, APIs, integration patterns, and AI tooling.

🎯 Requirements

• 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 for presenting technical work, recommendations, and reasoning to 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. • Comfortable using AI-enabled development tools and workflows for engineering, automation, debugging, and operational tasks. • Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns. • Strong judgment when reviewing and hardening AI-assisted outputs for security, scalability, maintainability, reliability, and architectural fit. • Experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems. • Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows. • Laptop and reliable internet connection. • Currently based in Latin America.

🏖️ 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 • Paid Time Off • Work with Autonomy • Work with Top American Companies • Engagement activities • Work-life balance • Diverse, Global Network • Collaboration with a multicultural team • Access to seasoned senior talent and experienced professionals