Chatbot Developer

2 weeks ago


Bengaluru India Virtusa Full time

Job Description P1 C3 TSTS The Application Infrastructure team is seeking a motivated Chatbot Conversational Al 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. The candidate will have a very strong technical foundation, a strategic mindset, great communication skills and the ability to collaborate well with others in a truly global team. Act as a subject matter expert on the chatbot platform Developintegrations 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 Al experts Identify automation opportunities and lead the way in addressing them Train and refine intent detection models Continually improve production virtual agents Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation Support POCs and product demonstrations Primary Skills 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 Experience building Al applications, preferably Generative Al and LLM based apps Experience with Agentic Al frameworks Familiarity with CCD 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 LP and Artificial Intelligence Machine Learning concepts You might also have Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore Microsoft Copilot Studio or similar platform Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift. Understanding of Auth 2.0 protocol for secure authorization Sourcing and labeling training data for ML models Understanding of SRE techniques Understanding of Model Ops ML Ops LLM Ops Solid understanding of NLP and Al Machine Learning concepts 7 Experience with cloud platforms such as AWS and Azure 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 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. Python Javascript, NodeJS Gen AI, LLM Agentic AI frameworks


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