Java AI Engineer
Mphasis · North Carolina, United States · 3 mo ago
On-siteEngineeringFull-time
Core Skill Requirements
- 6–8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
- 4–5 years of experience with Python, focused on backend or data-driven development.
- Deep understanding of Reactive Programming (WebFlux, etc.).
- Hands-on experience with Apache Kafka for event-driven architectures.
- Experience with Flink for stream processing and data pipelines.
- Proficiency in Redis for caching and performance optimization.
- Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
- Strong experience in building and consuming RESTful APIs.
- GraphQL knowledge is good to have but not mandatory.
Ai / Conversational Platform Exposure
- Good 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.