Java Development From Backend Services to AI Orchestration

We build and modernize Java applications for enterprise teams where Spring Boot runs the backend and Spring AI connects it to LLMs.

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Your backend runs the business, but not the AI

Your Spring Boot application handles transactions, business logic, and API traffic. But your AI features are being built in Python by a separate team with a separate deployment pipeline. Spring AI and LangChain4j let your Java codebase orchestrate LLMs directly — same auth, same data layer, same infrastructure. Curotec engineers modernize and extend Java backends so your existing stack handles both jobs.

Our capabilities include:

Spring Boot modernization and Jakarta EE migration
Virtual threads adoption for high-concurrency services
Spring AI and LangChain4j integration for LLM orchestration
GraalVM native images for fast cold starts and smaller containers
Microservices architecture with Spring Modulith and Kafka
Legacy Java upgrade path from Java 11/17 to Java 25 LTS

Who we work with

We build and modernize Java applications for enterprise teams running Spring Boot backends in industries where the system processes transactions, not experiments.

Enterprise Teams on Older Spring Boot

Your application runs Spring Boot 2.x with Java 11 or 17. The Jakarta EE namespace migration hasn't happened, virtual threads aren't adopted, and every dependency upgrade surfaces breaking changes. You need engineers who stage the modernization across versions without a feature freeze in finance, healthcare, or banking.

Companies Adding AI to Their Java Stack

Your AI features run in Python maintained by a different team. Spring AI lets you orchestrate LLMs inside your existing Spring Boot codebase with the same security, data access, and deployment pipeline. You need engineers who connect AI to Java without building a second platform.

Engineering Leads Optimizing Cloud Costs

Your Java containers are oversized, cold starts are slow, and your cloud bill grows with every new service. GraalVM native images and virtual threads cut memory, startup time, and compute costs dramatically. You need engineers who right-size your Java infrastructure for what it actually runs.

Ways to engage

We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.

Staff Augmentation

Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.

Retainer Services

Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.

Project Engagement

Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.

We'll spec out a custom engagement model for you

Why choose Curotec for Java development?

Our engineers modernize Spring Boot applications because we build on the framework daily — virtual threads, GraalVM, Spring AI, and Jakarta EE are production patterns, not conference talks. When your Java backend needs AI orchestration alongside transaction processing, we don’t spin up a Python team. We extend what you already run.

1 Extraordinary people, exceptional outcomes

Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.

2 Deep technical expertise

We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.

3 Balancing innovation with practicality

We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.

4 Flexibility in our approach

We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.

Where our Java engineering goes deep

Spring Boot Modernization

Migrate from Spring Boot 2.x to 4.0 with Jakarta namespace changes, starter updates, and dependency upgrades staged per version.

Virtual Threads & Concurrency

Drop reactive complexity for virtual threads that handle massive concurrency with blocking code your team already understands.

Spring AI & LLM Integration

Orchestrate LLM calls, prompt management, and retrieval inside your Spring Boot codebase without a separate Python stack.

GraalVM & Native Images

Compile to native executables with sub-500ms cold starts, smaller containers, and lower compute costs across your services.

Microservices & Event Architecture

Structure bounded contexts with Spring Modulith and Kafka event-driven messaging between independently deployed services.

Java Version Upgrades & LTS

Upgrade from Java 11/17 to 25 LTS adopting records, sealed classes, pattern matching, and structured concurrency at each version.

The Java ecosystem we build in

Frameworks & Application Architecture

Our engineers choose frameworks and patterns matched to your application’s concurrency requirements, scale, and team structure.

Spring Boot – Production framework with auto-configuration, embedded servers, actuator endpoints, and the ecosystem most enterprise Java applications run on
Spring Modulith – Modular monolith architecture with enforced boundaries, event publication, and documentation generation for teams avoiding premature microservices
Quarkus – Cloud-native framework with GraalVM native image support, fast startup, and low memory footprint for containerized services
Micronaut – Compile-time dependency injection framework for microservices and serverless functions with minimal reflection overhead
Spring WebFlux – Reactive programming model for non-blocking I/O in use cases where virtual threads aren’t yet adopted or applicable
Jakarta EE – Enterprise specification layer for dependency injection, persistence, messaging, and security across compliant application servers

Data Access & Messaging

We connect your services to databases, caches, and event streams with ORMs and messaging tuned to your throughput requirements.

Hibernate / JPA – Standard ORM with entity mapping, lazy loading, criteria queries, and second-level caching across PostgreSQL and MySQL
Spring Data – Repository abstraction that simplifies database access with derived queries, pagination, and support for SQL, MongoDB, and Elasticsearch
Kafka – Distributed event streaming for high-volume data pipelines, event sourcing, and async communication between services
RabbitMQ – Message broker for reliable task queuing, routing patterns, and dead letter handling across Spring Boot applications
Redis – In-memory store for caching, session management, distributed locks, and rate limiting through Spring Data Redis
jOOQ – Type-safe SQL query builder for teams that prefer explicit SQL control over ORM abstraction with compile-time verification

AI & LLM Integration

Curotec integrates AI capabilities into your Java backend so LLM orchestration runs alongside your business logic, not in a separate stack.

Spring AI – Spring-native framework for connecting to OpenAI, Anthropic, and open-source models with prompt templating, function calling, and vector store integration
LangChain4j – Java SDK for building RAG pipelines, AI agents, and multi-step LLM workflows with type-safe abstractions
Azure OpenAI SDK – Java client for GPT-5 and embedding models with enterprise security through Azure networking and compliance controls
AWS Bedrock SDK – Java integration with foundation models from Anthropic, Meta, and Cohere through AWS VPC and IAM
Deeplearning4j – JVM-native deep learning library for training and serving models without leaving the Java ecosystem
Vector Search – Embedding storage and retrieval through PostgreSQL pgvector, Elasticsearch, or Redis for RAG implementations in Java

Testing & Code Quality

Our developers validate every layer with testing and analysis tools configured for modern Java features and Spring conventions.

JUnit 5 – Standard testing framework with parameterized tests, nested test classes, and extension model for Spring Boot integration testing
Mockito – Mocking framework for isolating unit tests with argument matchers, verification, and annotation-based mock injection
Testcontainers – Disposable Docker containers for integration tests against real databases, message brokers, and external services
Playwright – End-to-end browser testing for validating full application flows from your Java backend through the frontend
ArchUnit – Architecture testing library that enforces dependency rules, layer boundaries, and naming conventions at compile time
SonarQube – Continuous code quality inspection with bug detection, vulnerability scanning, and technical debt tracking across your Java codebase

Build Tooling & Performance

We configure build systems and runtime optimizations that keep compilation fast, dependencies clean, and startup times low.

Maven – Declarative build management with dependency resolution, lifecycle phases, and plugin ecosystem for enterprise Java projects
Gradle – Flexible build automation with incremental compilation, build caching, and Kotlin DSL for multi-module projects
GraalVM – Native image compilation that produces standalone executables with sub-500ms startup and significantly reduced memory footprint
JIT & AOT Compilation – Runtime and ahead-of-time compilation tuning for throughput-sensitive and latency-sensitive workloads respectively
OpenJDK – Production JDK distributions from Azul, Amazon Corretto, or Eclipse Temurin for Oracle license independence
Lombok – Annotation processor that generates boilerplate code for records migration, builder patterns, and logging in legacy codebases

Deployment & Infrastructure

Curotec deploys Java applications with containerized builds and CI pipelines matched to your scaling and compliance needs.

Docker – Multi-stage builds with JRE-slim images, layered jars, and health check configuration for consistent Java deployments
Kubernetes – Orchestrated scaling with JVM resource limits, readiness probes, and Helm charts for repeatable Spring Boot releases
AWS – ECS, Lambda, and Elastic Beanstalk deployment with RDS, ElastiCache, and CloudWatch for production Java workloads
Terraform – Infrastructure-as-code for provisioning compute, databases, message brokers, and environment-specific configuration
GitHub Actions – CI workflows that build, test, and deploy Java applications with Maven or Gradle on every pull request
Datadog – APM tracing with JVM metrics, garbage collection monitoring, and distributed request tracing across your Spring Boot services

FAQs about our Java development services

Should we upgrade to Java 25 LTS now?

If you’re on Java 11 or 17, yes. Java 11 is out of free public updates and Java 17 LTS support narrows over time. We stage upgrades one version at a time, adopting records, sealed classes, and virtual threads as your codebase is ready for them.

Can we add AI without building in Python?

Yes. Spring AI and LangChain4j let you orchestrate LLMs, build RAG pipelines, and manage prompts directly inside your Spring Boot codebase. Same auth, same data layer, same deployment pipeline. No second language stack to hire for or maintain.

Should we replace WebFlux with virtual threads?

Not always. Virtual threads simplify concurrency for most workloads, but WebFlux still fits specific non-blocking streaming use cases. We evaluate your services individually and migrate where virtual threads reduce complexity without losing performance.

Ready to have a conversation?

We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.