Job Title: Java Developer with AI/ML Duration: 12+ Months location: Detroit, Michigan - Onsite Client: Ford
Note: W2 Requirement (No C2C)
Job Summary:
We are seeking an experienced Java Developer with AI/ML experience to design, develop, and integrate scalable enterprise applications with artificial intelligence and machine learning capabilities. The ideal candidate will have strong hands-on experience with Java, Spring Boot, REST APIs, microservices, cloud technologies, and AI/ML/Generative AI solutions.
Key Responsibilities
Design, develop, test, and maintain scalable applications using Java and Spring Boot.
Develop and integrate RESTful APIs and microservices for enterprise applications.
Integrate AI/ML and Generative AI capabilities into Java-based applications.
Work with LLMs, NLP, prompt engineering, RAG, embeddings, and vector databases.
Develop integrations with AI/ML platforms and services such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Build secure and scalable backend services supporting AI-powered applications.
Collaborate with Data Scientists, ML Engineers, Product Owners, and business stakeholders to implement AI solutions.
Develop data-processing pipelines and services required for machine learning applications.
Implement application security, authentication, authorization, logging, and monitoring.
Write unit, integration, and automated tests to ensure application quality.
Participate in code reviews and follow enterprise coding and architecture standards.
Troubleshoot production issues and optimize application performance.
Deploy and maintain applications using CI/CD pipelines and cloud platforms.
Required Skills
8+ years of professional experience in Java development.
Strong experience with Java 8/11/17+.
Hands-on experience with Spring Boot, Spring Framework, and REST APIs.
Strong knowledge of microservices architecture.
Experience with SQL and relational databases such as Oracle, PostgreSQL, or MySQL.
Experience with Git, Maven/Gradle, JUnit, and CI/CD.
Experience with AWS, Azure, or Google Cloud Platform.
Hands-on experience with AI/ML or Generative AI technologies.
Understanding of LLMs, NLP, RAG, prompt engineering, embeddings, and vector databases.
Experience integrating AI/ML models through APIs or SDKs.
Strong troubleshooting, analytical, and communication skills.
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