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Location:
Basking Ridge, NJ / Dallas, TX / Tampa, FL (Hybrid/Onsite)
About BrezQ
BrezQ is a technology company specializing in Software Development, Artificial Intelligence, Cloud Engineering, Enterprise Applications, Data Platforms, and Digital Transformation. We build scalable technology solutions that solve complex business problems for enterprise organizations.
Position Overview
We are seeking a Senior Full Stack AI Engineer to design, build, and deploy enterprise-grade AI-powered applications.
This role requires expertise across modern frontend development, backend engineering, cloud-native platforms, API development, and Generative AI technologies.
You will work on building intelligent applications that combine traditional software engineering with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, vector databases, semantic search, and enterprise data integrations.
This is a software engineering role first and an AI role second. Candidates must demonstrate strong engineering fundamentals and production-scale application development experience.
What You Will Build
AI-powered enterprise web applications.
Intelligent search and knowledge systems.
LLM-driven customer and employee experiences.
AI agents that automate business workflows.
RAG platforms connected to enterprise knowledge repositories.
AI-enabled dashboards and decision-support systems.
Real-time data processing and analytics platforms.
Enterprise integrations with internal and external systems.
Key Responsibilities
Full Stack Development
Design and develop scalable web applications.
Build frontend applications using React and TypeScript.
Develop backend services and APIs using Java and Spring Boot.
Design secure and scalable REST APIs.
Implement authentication, authorization, and access control.
Optimize application performance and scalability.
AI Engineering
Integrate Large Language Models into enterprise applications.
Build Retrieval-Augmented Generation (RAG) solutions.
Design vector search architectures.
Develop AI agents and workflow automation systems.
Implement prompt orchestration and model routing.
Fine-tune AI application performance and accuracy.
Design evaluation frameworks for AI outputs.
Build guardrails, monitoring, and governance controls.
Data Engineering
Design data ingestion pipelines.
Build semantic search solutions.
Integrate structured and unstructured enterprise data.
Implement vector databases and embedding pipelines.
Cloud & DevOps
Deploy AI applications in cloud environments.
Containerize applications using Docker.
Deploy workloads using Kubernetes.
Build CI/CD pipelines.
Implement observability and monitoring.
Required Technical Skills
Frontend
React
TypeScript
JavaScript ES6+
HTML5
CSS3
Material UI
State Management (Redux, Context API)
Backend
Java 17+
Spring Boot
Spring Security
Spring Cloud
REST APIs
Microservices Architecture
AI / Generative AI
OpenAI APIs
Azure OpenAI
Anthropic Claude
Google Gemini
LangChain
LangGraph
LlamaIndex
Prompt Engineering
Agent Frameworks
RAG Technologies
Vector Databases
Pinecone
Weaviate
Chroma
FAISS
Semantic Search
Embeddings
Databases
PostgreSQL
MongoDB
Redis
Cloud
AWS
Azure
DevOps
Docker
Kubernetes
GitHub Actions
Jenkins
Required Experience
7+ years of software engineering experience.
3+ years of modern React development.
5+ years of backend development using Java and Spring Boot.
2+ years building AI-powered production applications.
Experience implementing RAG architectures.
Experience integrating enterprise systems with LLM platforms.
Experience deploying applications to cloud environments.
Experience working in Agile product teams.
Preferred Experience
Telecommunications industry experience.
Experience building AI copilots.
Experience with Agentic AI frameworks.
Experience with Model Context Protocol (MCP).
Experience with GraphRAG architectures.
Experience building multi-agent systems. xsgimln
Experience with AI governance and security frameworks.