Truelogic Software
Truelogic Software
501 – 1,000 कर्मचारी
B2BSaaSउद्यम
Truelogic Software एक नियरशोर सॉफ्टवेयर विकास कंपनी है, जो चुस्त स्टाफ ऑगमेंटेशन और कस्टम आउटसोर्स्ड विकास सेवाएँ प्रदान करती है। इसकी इंजीनियरिंग टीमें लैटिन अमेरिका में स्थित हैं और SaaS, B2B तथा एंटरप्राइज़ परिवेशों में स्टार्टअप्स और Fortune 500 कंपनियों के साथ काम करती हैं। कंपनी घनिष्ठ सहयोग, त्वरित डिलीवरी और क्लाइंट के समय क्षेत्रों के अनुरूप कार्य करने पर ज़ोर देती है तथा 25 से अधिक देशों में वितरित परियोजनाओं का समर्थन करती है। Truelogic Software का रिमोट-केंद्रित मॉडल विभिन्न उद्योगों और सॉफ्टवेयर विकास आवश्यकताओं का अनुभव रखने वाले इंजीनियरों को एक साथ लाता है।

Implementation Engineer, AI Integrations (Remote – Dominican Republic)

Lead technical implementations for an AI platform serving enterprise technology clients. Deliver integrations, AI workflows, and customer onboarding from initial scoping through production launch.

विवरण

  • Lead implementation workstreams from technical scoping and planning through configuration, testing, and go-live.
  • Build and configure platform integrations with agency and customer tools, including Figma, Slack, Microsoft Teams, Adobe, and performance dashboards.
  • Assess integration strategies, data mappings, configuration needs, and technical trade-offs, then recommend suitable approaches.
  • Partner with Product, Engineering, and agency stakeholders throughout implementation and rollout.
  • Surface and communicate technical risks, blockers, dependencies, and trade-offs.
  • Analyze customer and agency data environments, workflows, and pain points to shape tailored onboarding and implementation solutions.
  • Help develop repeatable implementation playbooks, technical documentation, training materials, and onboarding processes.
  • Support the onboarding of junior implementation engineers and provide informal mentoring.
  • Use AI-enabled development tools and workflows for engineering, automation, debugging, and operational work.
  • Coordinate multi-step workflows powered by AI and agents.
  • Assess and strengthen AI-assisted outputs for security, scalability, maintainability, reliability, and architectural alignment.
  • Contribute to prompts, evaluation frameworks, documentation, and operational context systems.
  • Support automated evaluation and feedback loops for AI-enabled systems and workflows.
  • Keep current with platform capabilities, APIs, integration patterns, and AI tooling.

आवश्यकताएँ

  • Bring 2–5 years of experience in implementation engineering, solutions engineering, technical delivery, or a related technical role, ideally in SaaS, data, analytics, or technology environments.
  • Have working knowledge of APIs, data systems, integrations, and cloud architectures such as Google Cloud, Azure, or comparable platforms.
  • Demonstrate the ability to independently deliver high-quality technical implementation work on complex projects.
  • Communicate effectively with both technical and non-technical audiences.
  • Have experience working cross-functionally with Product, Engineering, and other business or client-facing teams.
  • Work effectively in ambiguous settings while adapting to changing requirements and priorities.
  • Apply strong problem-solving skills and a growth mindset.
  • Use AI-enabled development tools and workflows comfortably.
  • Have experience coordinating multi-step AI or agent workflows, including choosing appropriate models, tools, and execution patterns.
  • Use sound judgment to review and strengthen AI-assisted outputs for security, scalability, maintainability, reliability, and architectural alignment.
  • Have experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems.
  • Understand automated evaluation and feedback loops for AI-enabled systems and workflows.
  • Be currently based in Latin America.

लाभ

  • Work fully remotely from a location where you can thrive, using a laptop and reliable internet connection.
  • Receive highly competitive compensation in USD.
  • Take paid time off.
  • Work with autonomy.
  • Collaborate with leading American companies.
  • Participate in engagement activities that support well-being and work-life balance.
  • Join a diverse, global professional network.
  • Work alongside experienced senior talent.

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