Software Engineer - AI Tooling
Build and own Supabaseโs AI developer tooling, including agents, MCP, and dashboard assistance, while using evaluations and metrics to improve quality, reliability, and developer experience.
Contact Center as a Service (CCaaS) software management and domain experience.
2+ years of Cognigy, Omilia or Kore.AI AI development
NICE CXone and CXone Studio Experience is helpful
Work as a member of the TTEC Digital project team to enhance and improve software written in one or more of the following languages: CXone Studio, C#, ASP.NET, Java Script
Code and test projects.
Deliver high-quality software on time.
Attend meetings and training as required.
Work with system analysis and project management for the successful completion of a project.
4+ years of ASP/.NET experience (C#, VS.Net, XML, Web Services, etc.)
5+ years Java Script experience
Bachelorโs degree in computer science, IT, or engineering preferred.
3 or more yearsโ experience in CCaaS and/or UC environments.
3 years of professional experience building and shipping ML or NLP systems, including focus on LLM based or Generative AI solutions.
3 or more years of software development, to include design, custom and common coding (JavaScript, Python, Java, C++), and testing of real time systems.
Expert Python and strong software engineering fundamentals (data structures, algorithms, testing, CI/CD, Git, containers).
Hands on with modern ML/LLM tooling like (PyTorch or TensorFlow; LangChain, LangGraph, vector databases such as Pinecone, Azure AI Search, FAISS) and AI Agents.
Experience with enterprise level CCaaS architecture for complex business needs.
Network infrastructure experience.
Team Player and the ability to mentor team members
Desire to work in a fast-paced environment.
Build and own Supabaseโs AI developer tooling, including agents, MCP, and dashboard assistance, while using evaluations and metrics to improve quality, reliability, and developer experience.
Develops production-grade AI agents, orchestration, and conversational workflows using Python, LangGraph, and LangChain, integrating enterprise systems and improving platform reliability, observability, and performance.
Develop enterprise AI agents and scalable platform capabilities with Python, LangGraph, and LangChain, delivering intelligent workflows, conversational experiences, and AI-powered automation.
Develops production-grade AI agents and conversational workflows using Python, LangGraph, and LangChain, integrating enterprise systems and improving orchestration, observability, and platform reliability.
Develops production-grade AI agents, orchestration, and conversational workflows using Python, LangGraph, and LangChain, integrating enterprise systems and improving platform reliability, observability, and performance.