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