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Full-time
bachelor degree
Medical Insurance, Learning Budget, English Classes, Professional Development, Ownership Opportunities
Posted 1d ago
~40 hrs/week
Remote in Bucharest, Romania
Responsibilities
Develop and optimize the C++ layer for local AI inference engines to ensure efficient performance on edge devices. Collaborate with researchers to transition machine learning models from research to production environments.
Requirements
Requires strong proficiency in C++ and extensive experience with Llama.cpp and ggml inference engines. A degree in Computer Science, AI, or Machine Learning is required along with a solid track record in AI R&D.
Full job description
About ITRex
THE PLACE
ITRex - AI pioneers who build systems that actually work in the real world, not just in demos. We're 250+ people spread across the US and Europe, creating solutions for companies like Procter & Gamble and Shutterstock. We keep it simple, build it right, and focus on what works.
THE PEOPLE
We're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways. We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there.
THE ROLE
You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.
This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.
Responsibilities
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
Integrate AI features into existing products, enriching them with the latest advancements in machine learning
Excellent programming skills in C++, experience in Javascript is a bonus
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures
Good understanding of deep learning concepts and model architectures
Experience with transformers, LLMs, Diffusion models
Demonstrated ability to rapidly assimilate new technologies and techniques
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D
Why people stay
First, the foundation:
Remote flexibility: Work where and how you work best - we trust you to deliver
Fair compensation: Competitive salary + benefits that matter (medical, learning)
Then, the growth:
Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety
AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them
Learning investment: English classes, professional development
Career progression: Real paths up, not just sideways shuffling
Finally, the people:
Responsive teammates: No ignored Slacks, no "not my problem" attitudes
Supportive culture: When you're stuck, people help. When things break, we fix them together
Human connections: Regular meetups, tech talks, and actual relationships beyond work
Curious? We are too. Let's talk
Related keywords
AI InferenceC++Llama.cppGgmlEdge DevicesDeep LearningTransformersLLMsDiffusion ModelsGPU ArchitectureMachine LearningAI R&DJavascriptModel DeploymentRuntime Optimization
We turn AI ambition into working systems — Generative AI, data, and everything in between
Industry
Software Development
Company size
201-500 employees
Founded
2009
Headquarters
Aliso Viejo, California
LinkedIn followers
8,395
ITRex is an AI consulting and implementation company that builds systems meant to work in the real world, at scale, and under pressure.
Generative AI is a core focus, but our expertise spans the full AI and data stack — from classical machine learning and computer vision to autonomous agents and data infrastructure. Our solutions aren’t just prototypes. They're built to integrate, scale, and deliver. Leaders come to us to explore what’s possible — and then make it real.
Gen AI Solution Development & Deployment
– LLM integration and deployment (GPT, Claude, Gemini, LLaMA, Mistral)
– Production-grade RAG with proprietary data
– AI copilots for knowledge, support, operations
– SLMs for edge, low-latency, and private environments
– Autonomous agents for multi-step workflows
– Prompt engineering for efficiency and control
AI-Ready Infrastructure & Governance
– Vector DBs and pipelines (Pinecone, FAISS, Weaviate)
– Unstructured data processing and ingestion
– LLMOps for monitoring and observability
– Built-in compliance: HIPAA, SOC2, EU AI Act
Strategic AI Enablement
– Readiness assessments and use case roadmaps
– PoCs with a path to production
– Risk control: retrieval fallback, prompt audits, trust layers
We support clients in healthcare, biotech, pharma, retail, logistics, and manufacturing — where AI must be scalable, accurate, and compliant. With 500+ solutions delivered since 2009, clients like P&G, Shutterstock, WorkFusion, Dollar Shave Club, Turvo, and Noom trust us to deliver AI that works.
Bring us your challenge. Let’s make it real
Offices: Aliso Viejo Pkwy, Aliso Viejo, California 92656, US · Warsaw, PL