Implementation Engineer - Technology Industry

Required

• 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.