Role Description Miratech is looking for a Junior Google DialogFlow Engineer (Python) to join the Bot Development team and help build next-generation conversational AI solutions across cloud platforms. In this role, you will design, develop, and enhance intelligent chatbots and voice bots using Google Cloud Platform technologies, with a strong focus on Dialogflow CX and its LLM-powered Playbooks capabilities. You will contribute to delivering scalable, high-performance conversational experiences through advanced AI capabilities, backend integrations, and modern cloud-native architectures. - Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, Dialogflow CX. - Craft clean, efficient, and maintainable code adhering to industry best practices and standards. - Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. - Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. - Leverage natural language processing (NLP), LLM and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. - Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. - Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement. - Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development. Qualifications - 2+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework. - Hands-on experience with Python for backend development, API integrations, and chatbot orchestration. - Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI. - Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities. - Solid understanding of Google as a Software-as-a-Service platform. - Proven troubleshooting and analytical skills in complex, distributed environments. - Familiarity with SQL and experience working with relational databases. - Experience integrating web services into applications. - Bachelor’s degree in a technology-related field or equivalent experience. Requirements - Familiarity with automated testing practices. Benefits - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

• tworzyć oprogramowanie w języku Java • współpracować z zespołem programistów, z analitykami, testerami, klientami i innymi specjalistami z branży IT, • uczestniczyć w tworzeniu rozwiązań, omawianiu problemów programistycznych i architektonicznych. • testować i opiniować nowe technologie i nowe rozwiązania dla klientów • realizować testy jednostkowe i integracyjne.

• Lead technical design and architecture for features and services • Participate in all phases of the software development lifecycle • Collaborate with Support to troubleshoot issues and deliver timely fixes • Work with Operations to drive performance improvements • Identify technical gaps and drive effective solutions • Maintain high quality by promoting clear documentation, strong code quality, and architectural enhancements. • Ensure system reliability, including error handling, observability, and scalability.

• Modernise Legacy Services Using AI • Use AI to analyse codebases, understand dependencies, and extract clean APIs • Work on high-impact legacy services that block divisional delivery speed • Implement strangler fig patterns and other proven migration approaches • Deliver modernised services with comprehensive tests, documentation, and multi-instance deployment capabilities • Complete service modernisations in fast cycles with monthly milestones • Use AI to accelerate every phase: analysis, refactoring, testing, documentation • Hand off modernised services to Platform Services or divisions with clear ownership • Demonstrate measurable improvements: faster APIs, better performance, higher reliability • Build AI-Powered Development Infrastructure • Implement Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance • Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation • Build automation using Claude Code, GitHub Copilot, and LLM APIs • Develop reusable AI tooling that other engineers can adopt • Use AI for all coding tasks: refactoring, test creation, documentation, debugging • Achieve measurable and significant productivity improvements through AI integration • Document patterns and share learnings through your work • Train teams during service handoffs on AI-enabled workflows you've built • Demonstrate when to use AI vs when human judgement is critical