Java Backend Developer with AI/DLC

PURVIEW; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

PURVIEW is seeking a senior Java Backend Developer with AI/DLC exposure to design, implement, and scale backend services. The role emphasizes Java, Spring Boot, REST APIs, and microservices within distributed systems across cloud environments.

The candidate should be a strong Java/Spring Boot engineer with hands-on AI-enabled development experience, including Generative AI tools and Enterprise AI assistants. AWS familiarity and containerized deployments are a plus.

Qualifications

• 10+ years of backend development experience with Java and Spring Boot.
• Strong background in REST APIs, microservices, and distributed systems.
• Hands-on experience with Kafka, databases, and cloud platforms.
• Exposure to AI-assisted development and GenAI tools is a plus.

Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and maintain RESTful APIs and microservices for enterprise use cases.
• Develop highly available and fault-tolerant backend services.
• Apply OO programming, design patterns, and clean coding practices.
• Contribute to application modernization, migrations, and code quality.
• Collaborate on backend architecture discussions and peer reviews.

Skills

Java

Spring Boot

REST APIs

Microservices

Kafka

Distributed systems

Databases

Cloud technologies

AI tools

GenAI

Tools

Cursor

ChatGPT

Gemini

Enterprise AI coding assistants

Job description

Job Title: Java Backend Developer with AI/DLC

Location: Austin, TX or Southlake, TX.

Duration: 6 to 12 Months

Employment Type: Contract-to-Hire

Experience: 10+ Years

Job Overview

We are looking for an experienced Java Backend Developer with AI/DLC experience to design, develop, and maintain scalable backend applications and microservices.

The ideal candidate will be a strong Java/Spring Boot backend engineer first, with hands‑on experience using modern AI tools and Generative AI capabilities to improve software development, application modernization, coding productivity, testing, debugging, and solution design.

The candidate should have strong experience with Java, Spring Boot, REST APIs, Microservices, Kafka, distributed systems, databases, and cloud technologies, along with practical exposure to AI-assisted development and GenAI technologies.

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and maintain RESTful APIs and microservices.
• Develop highly available and fault‑tolerant backend services.
• Apply object‑oriented programming, design patterns, and clean coding practices.
• Develop reusable and maintainable backend components.
• Participate in application modernization and migration initiatives.

Microservices & Distributed Systems

• Design and develop distributed microservices architectures.
• Work with Kafka and event‑driven architectures.
• Implement asynchronous processing, messaging, retries, error handling, and resiliency patterns.
• Troubleshoot performance and scalability issues across distributed systems.
• Participate in backend system design and architecture discussions.

AI / DLC / AI-Assisted Development

The candidate should be comfortable using AI-assisted development tools as part of the software engineering lifecycle.

Experience with tools such as:

• Cursor
• ChatGPT
• Gemini
• Other enterprise AI coding assistants

Use AI capabilities for:

• Code generation and refactoring
• Debugging and troubleshooting
• Code reviews
• Documentation
• Legacy code modernization
• Application migration and transformation
• API and microservice development

Generative AI Exposure

Experience with one or more of the following is preferred:

• Generative AI / LLMs
• RAG – Retrieval‑Augmented Generation
• Embeddings
• LLM APIs
• AI‑powered applications
• AI agents / Agentic AI
• LangChain / LangGraph

The candidate does not need to be a pure AI/ML engineer. Strong backend engineering experience combined with practical AI exposure is the primary requirement.

Experience with one or more cloud platforms:

• AWS

Preferred experience:

• Docker
• Jenkins
• GitHub Actions

Database & Messaging

Experience with:

• SQL databases