Java AI Engineer: Autonomous Agents & Scalable Microservices (Remote)

Mindera; Porto; Remote; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Health Insurance

Flexible working hours

Open holidays

Profit distribution for everyone

Mindera Annual Trip, Sports, and clubs

Job summary

Mindera in Porto, Portugal is seeking a Java AI Engineer to design and build scalable microservices with Java 17/21+ and Spring Boot, focusing on autonomous AI agents and memory management.

You will integrate LLMs via RESTful APIs, craft prompts, ensure reliability with guardrails and observability, and collaborate with app engineers, product managers, data teams, and frontend developers to deliver end-to-end AI features for mobile apps.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering or related field.
• At least 7 years of professional experience relevant to the role.
• Experience as a Java Developer and Spring Boot.
• Experience with Agentic AI and LLMs.
• Knowledge of LangChain or equivalent orchestration frameworks.
• Strong technical writing for APIs, architecture and developer guides.

Responsibilities

• Design, build and maintain scalable microservices using Java 17/21+ and Spring Boot.
• Architect and implement autonomous AI agents with Spring AI or LangChain4j.
• Integrate Azure Co-pilot via robust RESTful APIs.
• Craft, test and version-control complex prompts for deterministic model outputs.
• Implement guardrails, rate limiting, fallbacks and observability for AI features.
• Collaborate with App Engineers, product managers, data and frontend teams on AI use cases.

Skills

Java

Spring Boot

Agentic AI

LLMs

LangChain

Technical writing

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Job description

Mindera in Porto, Portugal is seeking a Java AI Engineer to design and build scalable microservices with Java 17/21+ and Spring Boot, focusing on autonomous AI agents and memory management.

You will integrate LLMs via RESTful APIs, craft prompts, ensure reliability with guardrails and observability, and collaborate with app engineers, product managers, data teams, and frontend developers to deliver end-to-end AI features for mobile apps.