AI-powered Java Full Stack

Mphasis
Concord, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Concord, United States of America

Tech stack

Java
Artificial Intelligence
Cloud Computing
Continuous Integration
Relational Databases
Software Debugging
Python
Machine Learning
MongoDB
NoSQL
Oracle Applications
Performance Tuning
Redis
Large Language Models
Prompt Engineering
Spring-boot
Caching
Backend
Event Driven Architecture
Kubernetes
Information Technology
Apache Flink
Data Analytics
Kafka
Reactive Programming
GraphQL
REST
Stream Processing
Data Pipelines
Microservices

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.

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