Conversational AI Engineer - Hartford, CT

Lead the technical design and implementation of major components of our conversational AI platform (chat and voice)

Own end-to-end delivery of complex features from design through deployment, monitoring, and iteration

Drive engineering excellence in code quality, testability, performance, scalability, and observability

Perform deep design and code reviews; raise the technical bar across the team

Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines

Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails

Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions

Help deploy, operate, and maintain large-scale software in production with strong operational discipline

Mentor mid-level and senior engineers on advanced technical topics and best practices

Contribute to the long-term technical strategy alongside Principal Engineers and architects

Required Qualifications

8+ years of experience designing and building software engineering solutions in cloud environments (Google Cloud Platform, AWS, or Azure)

8+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.

8+ years of experience with APIs, microservices, and modern software patterns

3+ years of experience working with cross-functional stakeholders on complex requirements

Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)

Preferred Qualifications

Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation

Experience developing and supporting voice and text chatbots, including dialog design at scale

Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations

Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows

Strong communication skills, capable of explaining technical concepts to both engineering and business audiences

Advanced degree (Master's or PhD) in Computer Science, Engineering, AI, or a related field