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Senior AI Engineer

BrezQ

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
Vacancy posted 1 day ago
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