• You will own the core services responsible for authenticating every entity—human and machine—within the ecosystem. • You will be defining how fine-grained permissions are modeled, inherited, and enforced across a massive, multi-tenant hierarchy of organizations and locations. • You will own the internal SDKs, gRPC contracts, and middleware that allow over 150+ downstream engineers to integrate security features into their products without needing to be cryptography experts. • You will manage the infrastructure that bridges our platform with the world, including federated identity (SSO), automated provisioning (SCIM), and secure machine-to-machine (M2M) communication protocols. • Improve system observability (MTTD/MTTR) by integrating monitoring and load-testing protocols into our Tier-1 services. • You are the guardian of the "Source of Truth." You will own the immutability and reliability of our audit logging pipelines and the consistency of identity data. • As a founding member of the regional hub, you will own the technical bar and operational culture for the India-based arm of the team, ensuring seamless asynchronous collaboration with the US-based team members.

• 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.

• 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.