You’ll own discrete implementation workstreams, build the integrations that connect The Machine to each customer’s existing tools, and help turn a powerful platform into a working system for real teams. Our engineers are AI native and engage in and advance the state of the art in the practice of software development flow with AI.What You’ll Do:Own discrete implementation workstreams end-to-end, from technical scoping through go‑live, with support from senior engineers and the Director of ImplementationBuild and configure integrations between The Machine and the tools our agencies and customers already use (Figma, Slack, Teams, Adobe, performance dashboards)Contribute to technical decisions on integration approach, data mapping, and configuration with well‑reasoned recommendationsCollaborate effectively with Product, Engineering, and agency stakeholders throughout each rolloutIdentify and proactively communicate risks, blockers, and trade‑offs in your implementation workHelp onboard and informally mentor junior implementation engineersUnderstand agency and customer data environments, workflows, and pain points to help design tailored onboarding solutionsSupport the development of repeatable playbooks, documentation, and training materials that improve onboarding speed and consistencyContinuously improve your craft by staying current with The Machine’s evolving tooling, APIs, and integration patternsWhat You’ll Need:2–5 years of experience in implementation engineering, solutions engineering, or technical delivery, ideally in a SaaS, data, or analytics environmentWorking knowledge of APIs, data systems, and cloud‑based architectures (Google Cloud, Azure,



or similar)Demonstrated ability to deliver high‑quality implementation work independently on complex projectsStrong communication skills with the ability to present your work and reasoning clearly to technical and non‑technical audiencesExperience working in collaborative, cross‑functional team environmentsComfort working in ambiguity and adapting to rapidly evolving environmentsA growth mindset and track record of continuously improving your skillsComfortable leveraging AI‑enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasksExperience orchestrating multi‑step AI or agent‑driven workflows, including selecting appropriate models, tools, and execution patterns for different use casesStrong judgment reviewing and hardening AI‑assisted output for security, scalability, maintainability, and architectural fitExperience building or maintaining prompts, evaluation frameworks, documentation, or operational context systems that improve engineering velocity and reliabilityFamiliarity with automated evaluation and feedback loops for AI‑enabled systems and workflowsNice To Have:Experience working directly with agency or enterprise client stakeholdersFamiliarity with creative agency operations or marketing analytics ecosystemsBackground in AI/ML tooling, orchestration platforms, or agentic systemsWhat We Offer:Compensation details will be shared with candidates who advance to the interview stage.Initial 6-month contract, with the possibility of extension.Access to training, certifications (partially or fully covered by the company), and internal mentoring.Participation in high‑impact projects with national and international clients.A collaborative work environment focused on well-being and cualificado growth.#J-18808-Ljbffr

📌 Engineer, Implementation (Colombia)
🏢 QStrauss Consulting
📍 Colombia