Chatbot Developer

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