Chatbot, Conversational AI Engineer

Chatbot / Conversational AI Engineer

The Application Infrastructure team is seeking a motivated Chatbot / Conversational AI Engineer to join the Chatbot team. A successful candidate will participate in all aspects of software development, working directly with chatbot experts, other developers and engineers within the team, and our internal clients who wish to adopt chatbot solutions as part of technology service delivery. Job Responsibilities

Act as a subject matter expert on the chatbot platform Develop integrations in Python and Groovy that enable virtual agents to interoperate with various systems Participate in every phase of the Software Development Lifecycle Create Generative Artificial Intelligence solutions and drive their adoption Understand, refine, and translate customer requirements into working software Create and enhance various utilities that support the chatbot platform Lead design and code reviews Work closely with a global team of engineers, SREs, and conversational AI experts Identify automation opportunities and lead the way in addressing them Train and refine intent detection models Continuous Improvement of production virtual agents Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation Support POCs and product demonstrations Qualifications

Primary Skill: Strong knowledge of software design and best practices Deep experience with Python coding and development Experience with JavaScript and Node.js and other software development frameworks and libraries Demonstrated knowledge and interest in Generative Artificial Intelligence / LLMs, model training, fine tuning and related APIs Familiarity with CI/CD practices and experience with GitHub and Jenkins Excellent written and verbal communication skills Deep experience with Agile development practices such as Scrum Strong background in Linux Solid understanding of NLP and Artificial Intelligence / Machine Learning concepts You might also have: Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore.ai, Microsoft Copilot Studio or similar platform Sourcing and labeling training data for ML models Experience in generative Artificial Intelligence, and LLMs Familiarity with DevOps practices Knowledge of Docker, Kubernetes Experience with cloud platforms such as AWS and Azure Team Profile: Enterprise Technology & Services (ETS) delivers shared technology services for the Firm supporting all business applications and end users. ETS provides capabilities for all stages of the Firm's software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of our employees. Application and end user services are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database services. Within ETS, the Chatbot Team in Application Infrastructure provides a scalable Natural Language Understanding platform for designing and building virtual agent solutions that can be adapted to a variety of technology services.