Senior AI Engineer

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., * 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