Requisition ID: 105030-1
Title: Java AI Engineer
Duration: 6-12 months with possible extension
Location: Phoenix, AZ (Local Candidate only)
Salary Range: $40 -$45 an hour on W2/C2C
Job Description:
Java & Backend Development Design and develop scalable applications using Java 17/21, Spring Boot, Spring Cloud, and Microservices architecture. Develop RESTful APIs and event-driven services using Kafka. Implement secure applications using OAuth2, JWT, RBAC, and enterprise security standards. Optimize performance, resiliency, and scalability of distributed systems. AI & Generative AI Solutions Build and deploy AI-powered applications using OpenAI, Azure OpenAI, Claude, or similar LLM platforms. Design Retrieval Augmented Generation (RAG) solutions using Vector Databases. Develop AI Agents with tool calling, orchestration, memory management, and workflow automation. Implement prompt engineering, semantic search, embeddings, and context management. Integrate enterprise knowledge repositories with AI solutions. Develop responsible AI guardrails, validation, and observability frameworks. Cloud & DevOps Deploy applications on AWS, Azure, or GCP. Build CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI. Containerize services using Docker and Kubernetes. Monitor production systems using Splunk, Grafana, Prometheus, ELK, or Cloud Monitoring solutions.
SKILLS_REQUIRED
"Core Java Java 17/21 Spring Boot Spring Cloud Hibernate/JPA REST APIs Microservices Kafka SQL & NoSQL Databases AI / GenAI LLM Integration OpenAI / Azure OpenAI APIs Prompt Engineering RAG Architecture AI Agents LangChain / LlamaIndex Embeddings & Semantic Search Vector Databases (Pinecone, Chroma, Weaviate, Milvus) MCP (Model Context Protocol) Function Calling & Tool Usage Cloud & DevOps AWS / Azure / GCP Docker Kubernetes CI/CD Pipelines GitHub Actions / Jenkins Terraform (Preferred) Databases PostgreSQL MongoDB DynamoDB Redis
Snowflake Preferred NVIDIA NIM Agentic AI Frameworks MLOps / LLMOps FastAPI or Python GraphRAG Knowledge Graphs Multi-Agent Systems"
ESSENTIAL_SKILLS
"Core Java Java 17/21 Spring Boot Spring Cloud Hibernate/JPA REST APIs Microservices Kafka SQL & NoSQL Databases AI / GenAI LLM Integration OpenAI / Azure OpenAI APIs Prompt Engineering RAG Architecture AI Agents LangChain / LlamaIndex Embeddings & Semantic Search Vector Databases (Pinecone, Chroma, Weaviate, Milvus) MCP (Model Context Protocol) Function Calling & Tool Usage Cloud & DevOps AWS / Azure / GCP Docker Kubernetes CI/CD Pipelines GitHub Actions / Jenkins Terraform (Preferred) Databases PostgreSQL MongoDB DynamoDB Redis
Snowflake Preferred NVIDIA NIM Agentic AI Frameworks MLOps / LLMOps FastAPI or Python GraphRAG Knowledge Graphs Multi-Agent Systems"
DESIRABLE_SKILLS
Java & Backend Development Design and develop scalable applications using Java 17/21, Spring Boot, Spring Cloud, and Microservices architecture. Develop RESTful APIs and event-driven services using Kafka. Implement secure applications using OAuth2, JWT, RBAC, and enterprise security standards. Optimize performance, resiliency, and scalability of distributed systems. AI & Generative AI Solutions Build and deploy AI-powered applications using OpenAI, Azure OpenAI, Claude, or similar LLM platforms. Design Retrieval Augmented Generation (RAG) solutions using Vector Databases. Develop AI Agents with tool calling, orchestration, memory management, and workflow automation. Implement prompt engineering, semantic search, embeddings, and context management. Integrate enterprise knowledge repositories with AI solutions. Develop responsible AI guardrails, validation, and observability frameworks. Cloud & DevOps Deploy applications on AWS, Azure, or GCP. Build CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI. Containerize services using Docker and Kubernetes. Monitor production systems using Splunk, Grafana, Prometheus, ELK, or Cloud Monitoring solutions.
Appreciate your quick response and please feel free to reach me out for any query you may have.
Thanks