Responsibilities and duties

• Design, develop, and maintain microservices and applications in Java, ensuring high performance, scalability, and security;
• Build, test, and deploy AI agents for business process automation;
• Integrate LLMs with APIs, databases, external services, and corporate tools;
• Contribute to RAG pipelines, memory mechanisms, and efficient context retrieval;
• Ensure the reliability of workflows involving AI agents and intelligent automations;
• Implement and maintain automated tests (unit, integration, and functional);
• Write specific tests for agentic AI components;
• Troubleshoot development, staging, and production environments.
• Work with CI/CD pipelines for continuous build, test, and deployment;
• Use containerization (Docker) and orchestration (Kubernetes) for deployments;
• Ensure observability and monitoring of agentic AI workflows;
• Participate in code reviews, knowledge-sharing sessions, and agile ceremonies;
• Provide technical support and act as a reference for medium and high-complexity tasks;
• Review and maintain detailed documentation of architecture, components, integrations, and deployment processes;
• Record technical decisions and adopted patterns for the use of AI and automation.

Requirements and qualifications

Bachelor's degree in Computer Engineering, Information Systems, Computer Science, or related fields;

Experience in:

• Java development and OOP,
• Microservices and REST APIs,
• Test automation (unit, integration, or functional),
• GIT tools,
• LLMs and AI frameworks (e.g., LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel);

Proficiency in Java and Python

• Node.js or another language is a plus;

Knowledge of databases (SQL Server, Oracle, Cassandra, or similar);

Understanding of vectors, embeddings, and vector databases;

Understanding of APIs, microservices, and basic cloud concepts;

Strong debugging, troubleshooting, and technical communication skills;

Advanced/fluent English for daily contact with international teams.

Experience in:

• Multi-agent systems or agents with function-calling,
• TDD or BDD,
• Containerization with Docker and orchestration with Kubernetes;

Knowledge in:

• Graphs and Graph DBs (e.g., Neo4j),
• CI/CD tools (Jenkins, GitLab CI, GitHub Actions),
• Observability and monitoring (Prometheus, Grafana, ELK),
• Telecom (not mandatory);

Familiarity with cloud platforms.

Additional information

Work hours: Monday to Friday, from 8:00 AM to 12:00 PM and from 1:00 PM to 5:00 PM.

Work location: Activities may be performed under a "Home Office" remote work regime.