Sr Java AI Engineer

Cloudious LLC; Chandler (AZ); On-site; USD 120,000 - 150,000; Full time

Job summary

Cloudious LLC in Chandler, AZ; Charlotte, NC; and SFO, CA onsite role seeks a Java AI Engineer to build backend platforms for AI‑driven assistants, using Java, Spring, REST, Kafka, and data pipelines. Familiarity with GraphQL and Dialogflow CX is a plus.

Requires 6–8 years in Java development, strong debugging, microservices, CI/CD, and cloud‑native skills (Kubernetes). Experience with LLMs, agentic architectures, and ADK frameworks is valuable. Banking/fintech exposure is a plus.

Qualifications

• 6-8 years of strong experience in Java development, including proficiency in Spring
• SpringBoot
• 2-3 years of experience with Python, focused on backend or data-driven development
• Strong experience in building and consuming RESTful APIs
• Strong understanding of Reactive Programming (WebFlux, etc.)
• Hands-on experience with Apache Kafka for event-driven architecture
• Database expertise in MongoDB (NoSQL) and Oracle (RDBMS)
• Experience with Flink for stream processing and data pipelines
• GraphQL knowledge
• AI / Conversational Platform Exposure
• Strong understanding of Google Dialogflow CX or similar conversational AI frameworks
• Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts
• Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks
• Conceptual understanding of machine learning fundamentals and model telemetry.

Job description

Role: Java AI Engineer

Location: Chandler, AZ | Charlotte, NC | SFO, CA Onsite role

Contract

Core Skill Requirements (ones marked in blue are medium priority)

• 6-8 years of strong experience in Java development, including proficiency in Spring
• SpringBoot
• 2-3 years of experience with Python, focused on backend or data-driven development
• Strong experience in building and consuming RESTful APIs
• Strong understanding of Reactive Programming (WebFlux, etc.)
• Hands-on experience with Apache Kafka for event-driven architecture
• Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS)
• Experience with Flink for stream processing and data pipelines
• GraphQL knowledge
• AI / Conversational Platform Exposure
• Strong understanding of Google Dialogflow CX or similar conversational AI
• frameworks
• Exposure to LLM (Large Language Models), agentic architectures, and prompt
• engineering concepts
• Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic
• frameworks
• Conceptual understanding of machine learning fundamentals and model telemetry.

Additional Skills

• Strong problem-solving and debugging skills.
• Experience with microservices architecture, CI/CD pipelines, and cloud-native
• environments (OCP, Kubernetes, etc.)
• Excellent communication skills; ability to collaborate across engineering and product
• teams

Preferred Qualifications

• Bachelor's or master's degree in computer science, Engineering, or related field.
• Prior experience in banking, fintech, or digital assistant platforms is an advantage.

Evaluation proficiency Metrics:

High Priority

• Python
• Context Engineering
• Google ADK
• MCP
• A2A
• Multi Agent Set Up
• General AI/ML

Low Priority

• Arize
• Architecture thinking/other ADK frameworks