PApplybrJob TypebrFull-timebrstrongDescriptionbr/strongPropio 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. We’re committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.brWe are seeking an strongLLM AI Engineer /strong to join our AI team and help build cutting-edge products using large language models (LLMs). You’ll 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.brThis is a high-impact role at the intersection of NLP, multilingual AI, and real-world healthcare/legal communication.brstrongKey Responsibilitiesbr/strong /pulliFine-tune, evaluate, and deploy LLMs (e.g., Mistral, GPT, Claude, LLaMA) for summarization, QA, and multilingual tasks /liliBuild and optimize embedding pipelines, RAG systems, and vector search capabilities for document/question retrieval /liliWork with Prompt Engineers to prototype use cases before transitioning to model-level customization /liliDevelop evaluation frameworks for language generation quality, semantic preservation, and multilingual fluency /liliCollaborate with AI Product Manager to translate business requirements into scalable model solutions /liliWork with MLOps to ship models into production with robust monitoring and fallback mechanisms /liliStay up to date with open-source developments and help evaluate new foundation models and librariesbr/li /ulstrongRequirementsbr/strongstrongQualifications:br/strongulliMaster’s Degree in Engineering, preferably in Computer Science, Statistics, Data Science or equivalent work experience /lili3+ years of experience working with NLP or large-scale ML models in production /liliStrong understanding of transformer architectures and recent LLM developments (e.g., LoRA, RAG, PEFT) /liliHands-on experience with one or more frameworks: Hugging Face, LangChain, OpenAI APIs, DeepSpeed, or vLLM /liliProven experience building multilingual or domain-adapted LLM pipelines /liliFamiliarity with retrieval-augmented generation (RAG), vector stores (FAISS, Weaviate), and prompt evaluation /liliStrong Python skills and comfort working in Git-based, containerized environments /liliExperience with healthcare or regulated domains a plus (e.g., HIPAA, PHI-safe modeling)br/li /ulstrongPreferred Qualificationsbr/strongulliExperience training or fine-tuning open-source LLMs from scratch /liliPrior work in translation, interpretation, summarization, or cross-lingual QA /liliContributions to open-source NLP projects /liliExperience working with speech-to-text pipelines or multimodal systems /li /ul #J-18808-Ljbffr