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# Software Engineer - Efficiency Engineering and AI Enablement

- **Company:** MILLENNIUM
- **Location:** Miami, FL, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Relational Databases, Python (Programming Language), PostgreSQL, Next.js, Software Engineering, Workflow Management Systems, Cloud Platform System, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Software Application Programming, Backend, Fastapi, Containerization, AngularJS, Information Technology, Front End Software Development, Software Library, Docker
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d090cec62a340805

## About the Role

* Bachelor's degree in Computer Science or a related field.
 * Two to five years of professional software engineering experience building applications, internal tools, automation or engineering productivity solutions.
 * Proficiency in modern backend languages and frameworks, such as Python with FastAPI or Java with Spring Boot, along with experience building frontend applications using React, Next.js or Angular.
 * Working knowledge of relational databases such as PostgreSQL.
 * Hands-on experience with, or a strong demonstrated interest in, applying AI and LLM technologies to conversational tools, intelligent automation, summarization or AI-assisted workflows.
 * Familiarity with AWS or another cloud platform, Docker and containerized application development and deployment.
 * Ability to move quickly from idea to prototype to production while applying sound engineering judgment and maintaining quality, security and scalability.
 * Strong problem-solving, stakeholder partnership and communication skills, supported by a collaborative and feedback-driven working style.

## Description

* Design, build and deliver internal applications, automation and workflow tools that improve productivity, operational consistency, visibility and quality across Production Support and Quality Engineering.
 * Develop AI-enabled solutions for use cases such as knowledge assistance, incident analysis and triage, issue summarization, test-case generation, defect analysis and engineering productivity.
 * Rapidly translate operational challenges into working prototypes, then evolve successful solutions into secure, maintainable and scalable production applications.
 * Integrate large language models and AI capabilities into internal workflows using APIs, open-source libraries, prompt engineering, retrieval-augmented generation and agentic workflows.
 * Partner with Production Support, Quality Engineering and engineering stakeholders to identify requirements, validate solutions, incorporate feedback and drive adoption.
 * Build and maintain backend services, APIs and frontend interfaces using modern application development and cloud technologies.
 * Build, package, deploy and support containerized applications in cloud environments.
 * Define and track measurable outcomes, including time saved, reduced manual effort, faster testing cycles and improved incident response, while contributing through code reviews and knowledge sharing.


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