This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.
Client Overview
Our client is an innovative technology company building and refining a sophisticated internal operating system powered by advanced artificial intelligence. They are at the forefront of integrating large language models into real business workflows, enabling smarter, faster, and more scalable operations. With a strong engineering culture and a clear vision for AI-driven efficiency, they are growing their core technical team with specialists who are passionate about pushing the boundaries of what AI can do inside production systems. This is a company where your work directly shapes the product and the people who rely on it every day.
Role Overview
The AI Engineer
will refine and enhance an internal operating system by implementing and optimizing advanced AI solutions and large language models. This role sits at the intersection of AI research and practical software engineering, requiring hands-on proficiency across C#, C++, Python, and React to deliver scalable, high-performance AI features. The AI Engineer will collaborate closely with cross-functional development teams to ensure seamless deployment, continuous improvement, and measurable business impact.
Location
Fully Remote (Work from Home) | 9 AM - 5 PM EST
Key Responsibilities
AI Development & Implementation
Enhance the existing internal operating system with advanced AI features and capabilities.
Integrate new large language models (
LLMs
) to expand and improve overall system functionality.
Develop and optimize AI algorithms to support core business workflows and operational processes.
System Architecture & Integration
Develop within a software stack built on
C#
,
C++
,
Python
, and
React
foundations.
Design scalable AI solutions that integrate seamlessly with the current system architecture.
Collaborate with development teams to ensure smooth deployment and ongoing maintenance of AI features.
Performance Optimization
Monitor and optimize AI model performance for efficient resource utilization across the system.
Troubleshoot technical issues related to AI implementation and system integration.
Conduct rigorous testing and validation to ensure high-quality, reliable AI solutions.
Qualifications — Experience
3–5 years
of experience in AI engineering or machine learning development.
Strong software development background with proficiency in
C#
,
C++
,
Python
, and
React
.
Hands-on experience with
large language models (LLMs)
and AI model integration into production systems.
Familiarity with
machine learning frameworks
and AI development tools.
Demonstrated experience with system architecture and integration projects at scale.
Qualifications — Skills
Strong problem-solving and analytical skills
for navigating complex technical challenges.
Excellent communication and collaboration skills
for effective work across cross-functional teams.
Self-motivated and autonomous
, with the ability to manage multiple projects simultaneously.
Passion for continuous learning
and staying current with emerging AI trends and technologies.
What Success Looks Like
Successful integration of new LLMs that measurably enhance system functionality and user experience.
Improved internal operating system performance through targeted AI optimizations.
Seamless deployment of AI features with minimal disruption to existing workflows.
Consistent delivery of high-quality AI solutions that meet both business and technical goals.
Opportunity
This is a rare opportunity to work at the cutting edge of AI technology, contributing directly to the core operating system of a forward-thinking company. You will have real ownership over LLM integration, AI-driven workflow optimization, and the development of innovative solutions that directly impact business efficiency and operations. If you are passionate about AI engineering and thrive in a fully remote, high-impact environment, this role offers significant room for growth, deep technical challenge, and the chance to shape how AI powers an entire organization from the inside out.
Application Process:
To be considered for this role these steps need to be followed:
Fill in the application form
Record a video showcasing your skill sets