Generative AI Engineer

Robotics Technologies

is hiring a Generative AI Engineer to design, build, and deploy production-ready AI agents and voice-enabled conversational applications. This onsite role in

Frisco, TX

focuses on scalable backend services and end-to-end conversational and voice AI workflows, using modern LLM tooling, RAG, and AWS. If you enjoy taking systems from design through testing and deployment, you will work across orchestration, retrieval, integrations, and reliability. The team will rely on your experience with CI/CD, monitoring, and production troubleshooting to keep AI experiences dependable and secure. Responsibilities

Design, develop, test, and deploy production-ready AI agents and voice-enabled conversational applications. Build scalable backend applications using

Python ,

OOP , and

asynchronous programming . Create multi-turn conversational AI workflows with

context management , memory, tool calling, and

human handoff

capabilities. Orchestrate AI agents with

LangChain ,

LangGraph , and

LLMs . Develop voice AI solutions integrating

Speech-to-Text (STT)

and

Text-to-Speech (TTS) . Implement

prompt engineering ,

RAG , and enterprise knowledge retrieval pipelines. Integrate AI agents with

enterprise systems ,

APIs , and

contact center platforms . Build secure

REST APIs ,

microservices , and event-driven backend architectures. Develop and deploy scalable cloud applications using

AWS

services and

serverless architecture . Work with

Docker ,

Kubernetes , and containerized deployment environments. Integrate

relational ,

NoSQL , and

vector databases

for storage and AI-powered retrieval. Implement AI guardrails, security controls, error handling, and responsible AI practices. Create automated unit, integration, performance, and conversational regression tests. Configure

CI/CD

pipelines for continuous integration, deployment, and delivery. Monitor performance, troubleshoot production issues, and improve system reliability. Collaborate with AI/ML engineers, cloud architects, and enterprise technology teams to deliver AI automation solutions. Requirements

5+ years

of software engineering experience with strong

Python

development expertise. Proficiency in

Python ,

OOP ,

asynchronous programming , and

automated testing . Experience building

conversational AI

and

voice AI agents . Working knowledge of

STT

and

TTS . Hands-on experience with

LLMs

and

generative AI . Experience with

LangChain ,

LangGraph ,

prompt engineering , and AI agent orchestration. Experience with

RAG

and

vector search . Experience with

AWS cloud services

and

serverless architecture . Experience with

REST APIs ,

microservices , and

event-driven architecture . Experience with

Docker ,

Kubernetes , and containerization. Familiarity with

relational ,

NoSQL , and

vector databases . Experience with

CI/CD ,

monitoring ,

logging , and production troubleshooting. Experience with

integration testing ,

performance testing , and

conversational AI testing . Technologies:

Python, Object-Oriented Programming (OOP), Asynchronous Programming, LangChain, LangGraph, Large Language Models (LLMs), Speech-to-Text (STT), Text-to-Speech (TTS), Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Search, AWS Cloud Services, serverless architecture, REST APIs, microservices, event-driven backend architectures, Docker, Kubernetes, containerized deployment environments, relational databases, NoSQL, vector databases, CI/CD, Monitoring, Logging, automated unit testing, integration testing, performance testing, conversational regression tests

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