Design, fine-tune, and deploy LLMs for business applications; build low-latency inference pipelines; evaluate and integrate open-source models or APIs; collaborate on production deployments; run evaluation frameworks and monitor models for continuous improvement.
At Scope Merge, we connect top Tunisian engineers with leading European companies. We offer long-term roles, international exposure, and above-market compensation. You’ll work on exciting international projects while we handle employment, payroll, and benefits.
We are hiring a Senior AI Engineer with deep expertise in Large Language Models (LLMs) and client facing to join a fast-growing European startup applying cutting-edge AI to solve real-world problems. You’ll work on the development, fine-tuning, and deployment of LLMs in production.
Tasks
* Design, train, and fine-tune LLMs for specific business use cases.
* Build and optimize inference pipelines for LLM-based applications, ensuring low-latency and scalability.
* Evaluate and integrate open-source LLMs (e.g., LLaMA, Mistral, Falcon) or APIs (e.g., OpenAI, Anthropic) depending on use case and cost constraints.
* Collaborate with backend engineers to deploy models efficiently using tools like Triton, vLLM, or ONNX Runtime.
* Design and run evaluation frameworks (e.g., prompt quality, hallucination detection, latency).
* Monitor models in production and implement mechanisms for feedback loops and continuous improvement.
* Stay up to date with advances in generative AI, open-source LLM tooling, and fine-tuning strategies.
Requirements
* 4+ years of experience in applied ML or NLP, with at least 1–2 years focused on LLMs.
* Strong knowledge of transformer architectures and experience working with model libraries like Hugging Face Transformers, LangChain, or LLM orchestration tools.
* Proven experience deploying LLMs into production (custom or API-based) and optimizing them for inference.
* Familiarity with techniques such as LoRA, QLoRA, PEFT, RAG, or prompt engineering.
* Solid Python skills, especially in ML stack (e.g., PyTorch, TensorFlow, FastAPI for serving).
* Experience working with cloud infrastructure (AWS/GCP) and containerized deployments (Docker, Kubernetes).
* Bonus: Experience with data pipelines, vector databases (e.g., Weaviate, Pinecone, FAISS), or hybrid search.
Benefits
* Work on international projects with top startups and tech companies.
* Collaborate with global teams and gain cross-border experience.
* Grow your skills through hands-on challenges and real-world impact.Modern offices in Lac 2, Tunis
* Supportive sick leave policy that respects your health and well-being
* Receive above-market salary and financial stability
CV in English.
We are hiring a Senior AI Engineer with deep expertise in Large Language Models (LLMs) and client facing to join a fast-growing European startup applying cutting-edge AI to solve real-world problems. You’ll work on the development, fine-tuning, and deployment of LLMs in production.
Tasks
* Design, train, and fine-tune LLMs for specific business use cases.
* Build and optimize inference pipelines for LLM-based applications, ensuring low-latency and scalability.
* Evaluate and integrate open-source LLMs (e.g., LLaMA, Mistral, Falcon) or APIs (e.g., OpenAI, Anthropic) depending on use case and cost constraints.
* Collaborate with backend engineers to deploy models efficiently using tools like Triton, vLLM, or ONNX Runtime.
* Design and run evaluation frameworks (e.g., prompt quality, hallucination detection, latency).
* Monitor models in production and implement mechanisms for feedback loops and continuous improvement.
* Stay up to date with advances in generative AI, open-source LLM tooling, and fine-tuning strategies.
Requirements
* 4+ years of experience in applied ML or NLP, with at least 1–2 years focused on LLMs.
* Strong knowledge of transformer architectures and experience working with model libraries like Hugging Face Transformers, LangChain, or LLM orchestration tools.
* Proven experience deploying LLMs into production (custom or API-based) and optimizing them for inference.
* Familiarity with techniques such as LoRA, QLoRA, PEFT, RAG, or prompt engineering.
* Solid Python skills, especially in ML stack (e.g., PyTorch, TensorFlow, FastAPI for serving).
* Experience working with cloud infrastructure (AWS/GCP) and containerized deployments (Docker, Kubernetes).
* Bonus: Experience with data pipelines, vector databases (e.g., Weaviate, Pinecone, FAISS), or hybrid search.
Benefits
* Work on international projects with top startups and tech companies.
* Collaborate with global teams and gain cross-border experience.
* Grow your skills through hands-on challenges and real-world impact.Modern offices in Lac 2, Tunis
* Supportive sick leave policy that respects your health and well-being
* Receive above-market salary and financial stability
CV in English.
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