Join to apply for the
LLM AI Engineer
role at
United Language Group
Overview
Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. Were committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.
We are seeking an
LLM AI Engineer
to join our AI team and help build cutting-edge products using large language models (LLMs). Youll work closely with a team of AI engineers and the product team to build systems that summarize, translate, evaluate, and structure multilingual interpretation content in real time. This is a high-impact role at the intersection of NLP, multilingual AI, and real-world healthcare/legal communication.
Responsibilities
Fine-tune, evaluate, and deploy LLMs (e.g., Mistral, GPT, Claude, LLaMA) for summarization, QA, and multilingual tasks
Build and optimize embedding pipelines, RAG systems, and vector search capabilities for document/question retrieval
Work with Prompt Engineers to prototype use cases before transitioning to model-level customization
Develop evaluation frameworks for language generation quality, semantic preservation, and multilingual fluency
Collaborate with AI Product Manager to translate business requirements into scalable model solutions
Work with MLOps to ship models into production with robust monitoring and fallback mechanisms
Stay up to date with open-source developments and help evaluate new foundation models and libraries
Qualifications
Masters Degree in Engineering, preferably in Computer Science, Statistics, Data Science or equivalent work experience
3+ years of experience working with NLP or large-scale ML models in production
Strong understanding of transformer architectures and recent LLM developments (e.g., LoRA, RAG, PEFT)
Hands-on experience with one or more frameworks: Hugging Face, LangChain, OpenAI APIs, DeepSpeed, or vLLM
Proven experience building multilingual or domain-adapted LLM pipelines
Familiarity with retrieval-augmented generation (RAG), vector stores (FAISS, Weaviate), and prompt evaluation
Strong Python skills and comfort working in Git-based, containerized environments
Experience with healthcare or regulated domains a plus (e.g., HIPAA, PHI-safe modeling)
Preferred Qualifications
Experience training or fine-tuning open-source LLMs from scratch
Prior work in translation, interpretation, summarization, or cross-lingual QA
Contributions to open-source NLP projects
Experience working with speech-to-text pipelines or multimodal systems
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Translation and Localization
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