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AI Engineer III

Propio

LocationUnited States
SeniorityOpen seniority
CompanyPropio
Verification agingAug 24
Compensation

Salary not listed

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WFH.team analysis

What this posting tells you

Role lane

Backend, Healthcare admin, Product, QA and testing

Where you can work

United States

Working hours

Timezone overlap is not stated.

Arrangement

full_time

Confirm before applying
  • Required timezone overlap is not stated
  • Compensation is not listed
  • Seniority is not stated
Market context

Backend hiring on WFH.team

4,932active related roles
1,461new in the latest period
202.7jobs per 100 candidates
$185kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

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Skills and signals
APIProductremote
Job description

AI Engineer III at Propio

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. We’re committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.

We are hiring an AI Engineer III to build and deploy practical, high-impact AI systems. You will work across speech recognition, large language models, and prompt engineering to ship products like AI-generated summaries, interpreter QA tools, and multilingual retrieval systems. You'll operate at the intersection of engineering, research, and product with high ownership and startup-level pace.

Key Responsibilities

Prototype, build, and deploy end-to-end AI applications involving speech, LLMs, and text generation Integrate APIs like 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 (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 vs. build

Department: Engineering.

ATS provider: Paylocity.