Job Description
Senior AI Engineer at BrezQ Senior AI Engineer at BrezQ in Fort Worth, Texas Posted in about 3 hours ago.
Type:
full-time Job Description:
Job Title:
Senior AI Engineer Location:
Fort Worth, TX (3 Days Onsite) - F2F Interview Required Duration:
Long Term BrezQ is seeking a highly skilled, forward-thinking engineer who brings deep expertise across Generative AI (GenAI), cloud-native architecture, and contact center platforms. This individual will thrive in a globally distributed, high-performing team spanning Hyderabad and Fort Worth, TX. Ideal Candidate Profile:
Technical Excellence:
Proficient in Java, Python, and TypeScript, with a strong foundation in object-oriented design, SOLID principles, and clean architecture Proven track record in designing and building scalable, distributed, event-driven systems that operate reliably in cloud-native environments Hands-on experience with backend development (Spring Boot, FastAPI) and building robust APIs (REST/GraphQL) and event-driven integrations using Kafka Experienced in working with relational and NoSQL data systems including PostgreSQL, MongoDB, Redis, and CosmosDB GenAI & LLM
Engineering Leadership:
Deep, practical experience delivering LLM-powered applications at scale, including: Designing Retrieval Augmented Generation (RAG)-based architectures with vector search (Azure AI Search, OpenSearch, Pinecone, FAISS) Building agentic workflows using frameworks like LangChain, LangGraph, and LangSmith Implementing structured outputs, tool/function calling, and prompt engineering best practices Optimizing latency, cost, and response quality, with a strong focus on hallucination mitigation and evaluation frameworks Strong understanding of AI governance, including PII handling, security controls, and enterprise compliance requirements, ensuring production-ready responsible AI solutions Contact Center & Conversational Expertise:
Hands-on experience modernizing contact center ecosystems, including: Integration with platforms such as Amazon Connect, Twilio, Azure Communication Services, Genesys, or NICE Designing real-time voice and chat solutions, including IVR, call routing, and speech services Enabling omnichannel customer journeys across voice, chat, SMS, and mobile Managing conversation context, session state, and transcript lifecycle Understanding of the operational realities of contact centers and building solutions that improve customer experience, agent productivity, and automation effectiveness Cloud, DevOps & Reliability Mindset:
Highly proficient in AWS and Azure ecosystems, with experience in: Containerization (Docker) and orchestration (Kubernetes) Infrastructure as Code (Terraform, Bicep, ARM) CI/CD automation (GitHub Actions, Azure DevOps) Designing for high availability, resiliency, and disaster recovery Implements end-to-end observability using OpenTelemetry and modern logging/tracing tools to ensure reliability in production environments Engineering Quality & AI Testing:
Champions quality through: Strong use of automated testing frameworks (JUnit, PyTest, Cypress, Playwright) Designing test strategies for deterministic and non-deterministic (AI) systems Establishing measurable benchmarks for LLM performance and system reliability Ways of Working & Global Collaboration:
Thrives in a product-centric, outcome-driven environment, operating effectively within Agile (Scrum/Kanban) teams Strong communication skills across time zones (Hyderabad-Fort Worth), ensuring clarity, alignment, and momentum Collaborative mindset, partnering across engineering, product, and business stakeholders Cultural awareness and adaptability, enabling seamless engagement across diverse, distributed teams
