AI Engineer III

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

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Propio Aruba Realty

1 - 10 employees

💼 Consulting

⚖️ Legal

🏠 Real Estate

Consulting • Legal • Real Estate

Propio Aruba Realty is a real estate company based in Aruba that specializes in buying, selling, and renting residential and commercial properties. Offering services for property seekers looking for ideal locations and prices, Propio Aruba Realty serves both local and international clients. Their offerings include residential properties such as houses and apartments, commercial buildings, land, and business locations. The company provides detailed listings and assistance to guide clients to the perfect real estate solution.

📋 Description

• Prototype, build, and deploy end-to-end AI applications involving speech, LLMs, and text generation • Integrate APIs such as OpenAI, Whisper, Deepgram, and open-source equivalents for ASR and NLP • Collaborate with engineers to iterate and refine MVPs before transitioning to model-level optimization • Develop internal tools and dashboards to test summarization, QA scoring, and multilingual understanding • Rapidly test ideas and model variations to explore feasibility and impact through a build-measure-learn loop • Ensure model pipelines are robust, scalable, and ready for handoff to MLOps and production • Work with the AI PM to align technical outputs with business use cases and feedback loops • Stay current on applied AI trends in speech and LLMs, and advise on what to use versus build

🎯 Requirements

• Master’s Degree in Engineering, preferably in Computer Science, Statistics, Data Science or equivalent work related experience • 5+ years of experience working with NLP or speech models in real-world applications • Experience with Python, Hugging Face Transformers, OpenAI APIs, Whisper, LangChain, or similar frameworks • Experience deploying AI models in production or pilot environments, such as using FastAPI, Flask, or Streamlit • Strong understanding of embeddings, prompt chaining, and pipeline orchestration • Familiarity with vector databases such as FAISS, Pinecone, or Weaviate • Comfortable with rapid iteration, MVP mindset, and cross-functional collaboration • Prior exposure to multilingual or low-resource language challenges is a plus • Experience building speech-to-text pipelines or hybrid ASR + LLM systems • Experience with data labeling, annotation, or active learning workflows • Familiarity with real-time audio processing or latency-sensitive applications • Experience in healthcare, legal, or regulated environments, including HIPAA, PHI, or Section 1557

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