Senior AI Engineer with Java

Mindera

11d•Hybrid

About The Position

At Mindera, we believe in building software that improves lives. As a Senior AI Engineer, you will have the following focus: Backend Architecture & Development: Design, build, and maintain scalable, high-performance microservices using Java 17/21+ and the Spring Boot framework. Agentic System Design: Architect and implement autonomous AI agents using frameworks like Spring AI or LangChain4j. Develop systems capable of multi-step reasoning, dynamic tool utilization, and memory management. LLM Integration: Integrate commercial Azure Co-pilot, into enterprise applications via robust RESTful APIs. Prompt Engineering & Optimization: Craft, test, and version-control complex prompts to ensure deterministic, safe, and accurate model outputs. Use skills and agents md files for long term maintainability. System Reliability: Implement guardrails, rate limiting, fallback mechanisms, and observability tracing for AI features to ensure enterprise-grade reliability and security. Collaboration: Work closely with App Engineers, product managers, data, and frontend developers to define AI use cases and deliver seamless end-to-end user experiences on Mobile Apps.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
At least 8 years of relevant professional experience for the role
Previous experience as a Java Developer
Experience with prompt optimization and LLM fine-tuning
Knowledge of LangChain or equivalent orchestration frameworks.
Strong technical writing skills for documenting APIs, architecture, and developer guides.

Responsibilities

Design, build, and maintain scalable, high-performance microservices using Java 17/21+ and the Spring Boot framework.
Architect and implement autonomous AI agents using frameworks like Spring AI or LangChain4j.
Develop systems capable of multi-step reasoning, dynamic tool utilization, and memory management.
Integrate commercial Azure Co-pilot, into enterprise applications via robust RESTful APIs.
Craft, test, and version-control complex prompts to ensure deterministic, safe, and accurate model outputs.
Use skills and agents md files for long term maintainability.
Implement guardrails, rate limiting, fallback mechanisms, and observability tracing for AI features to ensure enterprise-grade reliability and security.
Work closely with App Engineers, product managers, data, and frontend developers to define AI use cases and deliver seamless end-to-end user experiences on Mobile Apps.