AI Engineer
Location :
- Phoenix, AZ
- Charlotte, NC
- San Leandro, CA
Long Term
Core Skill Requirements
- 10- 12+ years of total IT ecperince.
- 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 o
- 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 o
Bachelor's or master's degree in computer science, Engineering, or related field.
o Prior experience in banking, fintech, or digital assistant platforms is an advantage. Evaluation proficiency Metrics:
High Priority
o Python
o Context Engineering
o Google ADK
o MCP
o A2A
o Multi Agent Set Up
o General AI/ML
Low Priority
o Arize
o Architecture thinking/other ADK frameworks
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