• Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. • Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities. • Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and 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.

• Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. • Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities. • Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and 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.

Role Description We are looking for a Backend Engineer, AI Agents with strong expertise in Python, distributed backend systems, and autonomous agent infrastructure. You will play a key role in building the Traia.io AI Agent runtime, enabling AI agents to collaborate, execute workflows, interact with tools, and operate securely at scale. This role is focused on AI agents infrastructure and orchestration systems. - Architect and build the backend infrastructure powering the Traia.io AI Agent runtime. - Develop and maintain multi-agent orchestration systems and autonomous workflows. - Build infrastructure for agent runtimes, tool execution, memory systems, and task coordination. - Integrate MCP servers, tools, skills, and external execution environments. - Design secure deployment architectures for AI agents, including sandboxing and containerized runtimes. - Build scalable APIs, queues, event-driven systems, and real-time communication layers. - Collaborate with AI engineers and infrastructure teams to shape next-generation autonomous systems. Qualifications - Strong backend engineering experience with Python. - Experience building AI agents, autonomous workflows, orchestration systems, or multi-agent architectures. - Familiarity with agent runtimes such as OpenClaw, Hermes, or similar frameworks is a strong advantage. - Solid understanding of distributed systems, Docker, Kubernetes, and secure deployment architectures. - Experience with MCP servers, tool calling systems, RAG pipelines, or AI-enhanced execution frameworks. - Strong understanding of security, isolation, scalability, and performance tradeoffs in autonomous systems. - Experience designing backend systems for task execution, workflow orchestration, or event-driven architectures. Requirements - Web3 development experience, including blockchain integrations, wallets, smart contracts, or DeFi protocols. - Experience with on-chain trading systems or autonomous execution agents. - Familiarity with Safe wallets, EIP-712 signing, or account abstraction. - Experience deploying isolated agent environments or sandboxed runtimes. - Understanding of Kafka, NATS, or large-scale real-time infrastructure.

• Design, develop and maintain backend components using Java and OOP principles • Build and optimize SQL queries over large datasets (Oracle / PostgreSQL) • Work with Data Lake environments and data integration flows • Contribute to microservices architectures (Spring Boot) • Collaborate in CI/CD pipelines using Git, GitHub Actions and Kubernetes • Participate in Agile ceremonies and technical decision‑making • Interact with functional teams in Transactional Regulatory Reporting contexts