Java Backend Engineer – Agentic Workflows

Job Summary

We are seeking a highly skilled Java Backend Engineer with expertise in agentic workflows and MCP (Model Context Protocol) service integration to join our engineering team. The ideal candidate will design develop and optimize backend systems that power intelligent autonomous agents and context-driven services. You will collaborate with cross-functional teams to architect scalable solutions that leverage cutting-edge AI workflows while maintaining reliability performance and security.

Responsibilities

Design develop and maintain scalable Java-based backend services to support agentic workflows and AI-driven applications.

Implement and optimize MCP services to enable seamless context sharing and dynamic orchestration between models agents and tools.

Architect APIs microservices and event-driven systems that ensure high performance reliability and low-latency communication.

Collaborate with data scientists AI/ML engineers and frontend developers to integrate agentic intelligence into production systems.

Write clean maintainable and testable code while following best practices in software engineering.

Monitor troubleshoot and optimize system performance scalability and fault-tolerance.

Contribute to workflow automation context management and intelligent decision-making systems.

Stay up to date with emerging technologies in AI distributed systems and backend engineering

Qualifications/Required skills:

Bachelors/Masters degree in Computer Science Engineering or related field.

5 years of backend engineering experience with strong expertise in Java (Java 11) and Python.

Proven experience with agentic workflows (autonomous task orchestration tool use context-driven execution).

Hands-on with MCP (Model Context Protocol) service development and integration.

Strong understanding of microservices architecture RESTful APIs gRPC and message queues (Kafka RabbitMQ etc.).

Experience with databases (SQL & NoSQL) and caching solutions (Redis Memcached).

Familiarity with cloud platforms (AWS GCP or Azure) and containerization (Docker Kubernetes).

Solid grasp of concurrency multithreading and distributed systems design.

Proficiency in CI/CD pipelines testing frameworks (JUnit Mockito) and code quality tools.

Excellent problem-solving debugging and communication skills

Preferred Qualification:

Experience with AI/ML infrastructure LLM-based applications or agent frameworks.

Knowledge of event sourcing CQRS and workflow engines (e.g. Temporal Camunda Airflow).

Contributions to open-source projects related to agentic systems or MCP.

Understanding of observability (logging tracing metrics) in distributed systems.

Behavioral Skills:

Excellent Communication skills and collaboration skills

Ability to propose and implement improvements in the system

Ability to work with cross-functional stakeholders

Below are top 5 skills for Candidate assessment.

• Java (11) and Python Backend Development strong coding & microservices experience
• Agentic Workflows orchestration autonomous task execution tool use
• MCP (Model Context Protocol) service development & integration
• Distributed Systems & APIs REST/gRPC event-driven architectures
• Cloud & Containers AWS/GCP/Azure Docker Kubernetes

Nice to have : experience with workflow engines (Temporal Camunda) AI/ML infrastructure and event streaming (Kafka).