Artificial Intelligence Engineer - Las Vegas

Only for registered members Las Vegas, United States

14 hours ago

Default job background
$70,000 - $90,000 (USD)
About Company, · 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 syst ...
Job description
About Company,


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 Data Engineer / AI & ML Engineer in Las Vegas, NV.

Position Overview

We are seeking a highly skilled Data Engineer / AI & ML Engineer to design, build, and support enterprise-grade AI systems across large-scale data platforms, computer vision pipelines, and LLM-driven applications.

This role operates within a structured enterprise environment and requires experience building secure, scalable, production-ready systems aligned with governance, compliance, and architectural standards.

Core Responsibilities

  • Enterprise AI & LLM Systems
Design and implement LLM-powered enterprise applications and RAG pipelines
Develop secure backend services using Python and FastAPI
Integrate enterprise APIs, data connectors, and secure data sources
Support model deployment, monitoring, logging, and SLA-driven performance management
Implement prompt governance, evaluation pipelines, and hallucination mitigation strategies
Collaborate with security and architecture teams to align with AI governance frameworks


  • Computer Vision & Machine Learning
Build and maintain object detection and CV pipelines (YOLO or similar)
Develop scalable training and inference architectures
Optimize models for enterprise SLAs (latency, throughput, reliability)
Support MLOps processes including retraining, versioning, rollback, and traceability
Ensure model observability and production monitoring


  • Data Engineering & Platform Infrastructure
Architect and maintain structured and unstructured data ingestion pipelines
Work with Kafka, Airflow, or equivalent orchestration frameworks
Build automated retraining and inference pipelines
Manage cloud-native storage (AWS S3, data lakes, metadata systems)
Containerize services using Docker and deploy within orchestrated environments
Implement logging, auditability, and traceability for compliance purposes


  • Frontend & Enterprise Tooling
Develop internal dashboards and operational monitoring tools
Build secure Chrome extensions or lightweight web applications
Integrate frontend systems with authenticated backend services
Ensure accessibility, usability, and enterprise UI standards

Required Qualifications
3+ years of experience in Data Engineering, ML Engineering, or related field
Strong Python engineering skills in production environments
Experience deploying ML models in enterprise settings
Backend API development experience (FastAPI or Flask)
Working knowledge of JavaScript or TypeScript
Experience with AWS or equivalent cloud platforms
Understanding of distributed systems and scalable architecture

Preferred Qualifications
Experience with LLMs, RAG pipelines, or agent orchestration frameworks
Experience with computer vision models (YOLO or similar)
Experience with Kafka, Airflow, or streaming systems
Familiarity with React or enterprise frontend frameworks
Experience in regulated or compliance-sensitive environments

Enterprise AI Engineering Competencies
AI-Assisted Development ("Vibe Coding" with Governance)
Experience using AI-assisted coding tools (Copilot, Cursor, ChatGPT, etc.) within enterprise guardrails
Ability to accelerate development while adhering to coding standards
Familiarity with AI code review workflows and prompt governance
Understanding of IP compliance and secure AI usage policies

MLOps & Platform Engineering
CI/CD pipelines for ML systems
Model versioning and experiment tracking
Performance validation frameworks
DevSecOps integration
Infrastructure-as-Code awareness

Representative Technology Stack

Python, PyTorch, Transformers, YOLO, FastAPI, Docker, LangChain/LangGraph (or similar), Kafka, Airflow, AWS, JavaScript, TypeScript, React, Vector Databases, CI/CD pipelines, Observability frameworks, AI-assisted development tools.

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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