Dilizy

You’ll be the strategic engine of our marketing. This is not about “making a quick post” — it’s about growth, data, product, and impact.

Responsibilities:

• Develop a marketing strategy for the B2B segment;
• Conduct market, competitor, and customer needs analysis;
• Build lead generation funnels;
• Collaborate with sales, logistics, design, and content teams;
• Manage analytics: GA, CRM systems, performance metrics, ROI.

Requirements:

• At least 1 year of experience in B2B marketing;
• Deep understanding of funnels, analytics, and business communications;
• Structured thinking, system mindset, and ability to quickly implement hypotheses.

About the Role

We are seeking a hands-on, proactive AI Integration Specialist to help us design and implement smart, scalable, and business-relevant automations using cutting-edge AI models and tools. You will be responsible for configuring LLM-based agents, integrating APIs, and enabling automated workflows that boost productivity and enhance our product capabilities.

This role sits at the intersection of AI engineering, product operations, and automation design. You’ll collaborate with product managers, developers, and business stakeholders to translate real-world problems into intelligent, automated solutions powered by AI.

Key Responsibilities

• Set up and configure AI agents and tools (OpenAI, Langchain, AutoGen, etc.) for internal and product-facing use cases.
• Build and optimize automated workflows using LLMs and prompt-based logic.
• Collaborate with backend/frontend teams to integrate agents into web and mobile applications.
• Work with API and plugin integrations to connect external services and tools.
• Support the deployment of custom models, agents, or automation pipelines into production environments.
• Monitor agent performance, gather feedback, and iterate on behavior and configuration.
• Maintain documentation and configuration templates for reusable AI workflows.

Requirements

• 2+ years experience in technical roles related to automation, integrations, or scripting.
• Solid understanding of how modern LLMs work (e.g., GPT, Claude, Gemini).
• Familiarity with AI frameworks and agent orchestration tools (Langchain, AutoGen, CrewAI, etc.).
• Experience with API integrations and webhooks (e.g., Zapier, Make, or custom integrations).
• Ability to write and debug prompts, create agent instructions, and fine-tune behavior via configuration.
• Basic scripting skills for automation and API handling.
• Strong problem-solving mindset and attention to technical detail.

 Nice to Have

• Experience with OpenAI Assistants API, GPT-4o, Claude 3, or similar models.
• Familiarity with prompt engineering and function calling mechanisms.
• Background in SaaS, DevOps, or product-based companies.
• Previous experience working with tools like Supabase, Firebase, or Vercel.
• Understanding of basic data engineering and logging/monitoring setups.

 What We Offer

• Opportunity to work with cutting-edge AI tools and shape real-world use cases.
• Flexibility in work location and schedule.
• Collaborative and open-minded team culture.
• Competitive compensation based on experience.

🏢 About Us

At Dilizy, we are redefining how automotive dealerships operate using AI-powered tools for inventory management, pricing, and process automation. As we scale our products and engineering team, we are looking for a QA Engineer who combines strong manual testing skills with hands-on automation experience to help ensure our platform’s quality, reliability, and scalability.

🔍 What You’ll Do

• Test web and mobile applications across manual and automated layers
• Develop, maintain, and improve automated test cases (UI/API level)
• Design test plans and write test documentation (test cases, checklists, test data)
• Perform functional, regression, smoke, and exploratory testing
• Integrate automated tests into CI/CD pipelines
• Track and verify bugs using tools like ClickUp
• Collaborate with developers, product managers, and designers to clarify features and test coverage
• Participate in QA process improvements and contribute to team knowledge base

✅ What We’re Looking For

• 2+ years of experience in QA, covering both manual and automation testing
• Solid understanding of software testing methodologies and best practices
• Hands-on experience with automation tools like Cypress
• Strong knowledge of REST API testing (manual and automated)
• Proficiency in using Postman, Swagger, or similar tools
• Experience with version control (Git), and CI tools (e.g., GitLab CI/CD, Jenkins)
• Ability to create clear, structured bug reports and test documentation
• Strong communication and teamwork skills

🌱 Nice to Have

• Experience with performance or load testing
• Basic knowledge of SQL and data validation
• Exposure to cloud-based environments (AWS, GCP, etc.)
• Previous experience in startups or AI/SaaS products

🚀 What We Offer

• Collaborative, international team focused on building meaningful, high-impact tools
• Freedom to improve processes, QA strategy, and testing frameworks
• Room for growth into Senior QA, SDET, or Release Engineering roles
• Competitive salary, flexible working hours, and product ownership culture

📬 Ready to Apply?

If you’re a versatile QA who can shift between exploratory testing and automated checks, and you’re excited to work on a fast-evolving AI product — we’d love to hear from you.