Senior Chatbot Engineer at Elloe

About you: 

We’re looking for a top-notch Chatbot Engineer who always sweats the small stuff and cares about impeccable code. If you always strive towards a sustainable, scalable, and secure code for every single application you develop, while keeping in mind the customer needs, then you are what we are looking for. You’ll get the chance to work with experienced engineers across our enterprise with a chance to move across varying automation technologies in the future.

Come join us in our mission of improving billions of lives through the power of conversational AI!

About the Role:

• Translating the client's business requirements into specific application designs for large, complex, or leading-edge Chatbot, Voice bots & conversation AI Solutions. . This includes understanding flows designs and developing corresponding mini-applications.
• Developing custom solutions that integrate and extend aspects of these solutions, enhance with AI capability and process automation.
• Collaborate with cross-functional teams to Define, Design, implement and develop Chatbots on the Google Dialogflow platform. This includes working with client personnel to identify functional requirements, and lead others in the identification, justification, design, and implementation of the chatbot/mini-apps.
• Analyze customer needs and design, document, test, and develop software as required to satisfy the functional and non-requirements.
• Provide technical expertise on aspects of the organization's IT infrastructure/software applications/ architecture/ hardware to internal customers, advise them of appropriate actions to fulfill procedural and regulatory requirements, or solve immediate problems.
• Develop REST/JSON API’s Design code for high scale/availability/resiliency.
• Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost-benefit analysis of the solutions developed.
• Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.
• Advise clients stakeholders on AI & Automation strategy along with detailed use cases utilizing Elloe Chatbot Framework
• Prepare solution architecture definitions and architectural documentation that will be reviewed and approved by peers and relevant stakeholders.
• Ensure that the solutions to individual projects and problems align with the overall architectural roadmap.
• Review architectural inputs from peers and provide technical feedback.

Requirements

• 4+ years of software development experience primarily on Chatbot development and related platforms
• Experience with HTTP, Sockets, REST, RESTful, and JSON API services in a programming language like Node.js, React.js, Javascript Python, PHP, Java, Ruby, or a similar object-oriented language is a must.
• Familiarity with databases like MySQL, Oracle, PostgreSQL, SQL Server, NoSQL, etc.
• Technologies – a deep understanding of how AI, Machine Learning, and Natural Language Processing work.
• Mobile and chat messaging apps – Familiar with different platforms to integrate chatbots. For Example, Facebook Messenger, WhatsApp, and Telegram.
• Proven record of developing NLG solutions and able to assess new solution offerings quickly and realistically
• Working independently (within broad guidelines) to design architectural solutions to deliver business requirements
• Experience working in an Agile Environment (using JIRA)
• Minimum Bachelor’s degree in Computer Science, Engineering, Statistics, Technical Science.
• At least 5 years of experience in IT and at least 1-2 years in Chatbot development.

Preferred Technical and Professional Expertise:

• Working knowledge of NLU voice/chatbots (Google DialogFlow ES or CX, Amazon, Nuance, etc.).
• The ability to design call flows from requirements documentation and workshops.
• Working knowledge with the on-premise contact center to cloud platform migration.
• Working knowledge of contact center software and hardware, inclusive of security capabilities.
• Working knowledge of Cloud Technologies (AWS, Azure, Google).