More jobs:
Gen AI Java
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-08-04
Listing for:
Arkhatech Inc
Full Time
position Listed on 2026-08-04
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, Java Developer
Job Description & How to Apply Below
We are looking for highly skilled Gen AI + Java Engineers with strong experience in designing and developing AI-powered enterprise applications using modern Generative AI technologies and Java-based backend systems.
Key Responsibilities
- Design and develop enterprise applications using Java, Spring Boot, and Microservices
. - Build and integrate Generative AI solutions using OpenAI, Azure OpenAI, Gemini, Claude, or Llama models.
- Develop AI-powered applications such as chatbots, copilots, intelligent search, and document processing systems
. - Work with Lang Chain, Lang Graph, Llama Index
, or similar orchestration frameworks. - Create and optimize prompts for high-quality AI responses.
- Develop REST APIs and integrate AI services with enterprise applications.
- Collaborate with cross-functional teams to deliver scalable, secure, and high-performance solutions.
- Follow best practices for software architecture, testing, and CI/CD.
Required Skills
- 9+ years of software development experience.
- Strong hands-on experience with Java 8/11/17
, Spring Boot
, Spring MVC
, and Microservices
. - Experience with Generative AI
, LLMs
, and AI application development. - Hands-on knowledge of OpenAI, Azure OpenAI, Gemini, Claude, or Llama
. - Experience with Lang Chain
, Lang Graph
, or Llama Index
. - Strong programming skills in Java (Python is a plus).
- Experience with REST APIs
, Docker
, Kubernetes
, and cloud platforms (
AWS
, Azure
, or GCP
). - Knowledge of Vector Databases such as Pinecone, ChromaDB, Weaviate, or FAISS
. - Familiarity with Git
, Jenkins
, and CI/CD pipelines. - Excellent communication and problem-solving skills.
Preferred Qualifications
- Experience with RAG architecture
, prompt engineering, and AI agent development. - Knowledge of AI security, scalability, and model evaluation.
- Cloud certifications or AI-related certifications are a plus.
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