AI & ML Engineer

Droisys

Las Vegas (NV)

On-site

USD 110,000 - 160,000

Full time

11 days ago

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Job summary

Droisys is seeking an AI & ML Engineer in Las Vegas to develop enterprise AI applications using Java (Spring Boot) and Python. You will build and integrate LLMs, RAG, and AI-powered services, and design scalable RESTful APIs and microservices.

The role emphasizes collaboration with engineering teams to deliver secure, high-performance apps. The ideal candidate has strong Java fundamentals, Python AI experience, knowledge of AWS, Docker, and CI/CD, plus exposure to ML/ CV concepts.

Qualifications

  • Strong Java, Spring Boot, and Python fundamentals.
  • Experience building scalable RESTful APIs and microservices.
  • Familiarity with LLMs, RAG, AI agents, or prompt engineering.

Responsibilities

  • Develop enterprise AI applications using Java (Spring Boot) and Python.
  • Build and integrate LLM, RAG, and AI-powered services.
  • Design scalable RESTful APIs and microservices.
  • Develop ML and computer vision solutions and deploy on cloud platforms.

Skills

Java
Spring Boot
Python
LLMs
RAG
REST APIs
Microservices
AWS
Docker
Git
Linux
Computer Vision

Education

Bachelor's or Master's in CS/AI/DS/ML

Tools

YOLO

Job description

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

We’re hiring AI & ML Engineer, in Las Vegas, NV.

Join our engineering team to build enterprise-grade AI applications using modern Java technologies, Generative AI, Machine Learning, and cloud-native architectures. This is an excellent opportunity for candidates with strong Java fundamentals and a passion for AI. Candidates at All Career Stages are invited to apply.

What You'll Build

  • Develop enterprise AI applications using Java (Spring Boot) and Python.
  • Build and integrate LLM, RAG, and AI-powered services.
  • Design scalable RESTful APIs and microservices.
  • Develop Machine Learning and Computer Vision solutions.
  • Integrate AI models with enterprise applications and cloud platforms.
  • Contribute to MLOps, CI/CD, and cloud-native deployments on AWS.
  • Collaborate with engineering teams to build secure, scalable, and high-performance applications.

Required Knowledge & Skills

  • Strong knowledge of Java, Spring Boot, Core Java, OOP, Collections, Multithreading, and REST APIs.
  • Knowledge of software engineering principles, design patterns, and microservices architecture.
  • Knowledge of Python for AI/ML application development.
  • Understanding of Machine Learning, Deep Learning, and Generative AI concepts.
  • Familiarity with LLMs, RAG, AI Agents, or prompt engineering.
  • Knowledge of SQL/NoSQL databases and API integrations.
  • Familiarity with AWS, Docker, Git, Linux, and CI/CD concepts.
  • Basic knowledge of Computer Vision (YOLO or similar) is a plus.
  • Strong analytical, problem-solving, and communication skills.

Education

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment

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