Senior AI Engineer

PropioOverland Park, KS
Hybrid

About The Position

Propio Language Services is a top-five global language services provider and the fastest-growing company in the industry. Operating at nine-figure scale across healthcare, legal, and other sectors, Propio delivers high-quality, real-time multilingual interpretation, translation, and localization services. Driven by cutting-edge technology and exceptional service, we create seamless experiences that bridge communication gaps across languages, cultures, and communication channels. We are looking for a highly skilled and hands-on Senior AI Engineer to lead the design, development, and productionization of advanced AI systems. This role is for someone who can operate as both a technical leader and a strong individual contributor. You will own complex AI initiatives end-to-end—from problem definition, research, experimentation, and architecture through implementation, evaluation, deployment, and production optimization. This is not a people-management-only or project-coordination role. You are expected to remain deeply hands-on, write production code, review critical implementations, investigate difficult technical problems, and lead by building.

Requirements

  • Master’s degree in Engineering, preferably in Computer Science, Statistics, Data Science, or a related field, or equivalent relevant work experience.
  • 7+ years of hands-on full-stack software engineering experience, with significant experience building production-grade AI/ML backend systems and strong proficiency in Python.
  • 3+ years of experience building production-grade modern AI systems, particularly real-time speech AI, speech-to-text, text-to-speech, voice agents, conversational AI, multimodal systems, or agentic systems.
  • Experience building and operating production systems on cloud platforms in AWS, including production-grade CI/CD and infrastructure-as-code tools such as AWS CDK.
  • Experience with real-time speech AI systems, real-time audio processing, or other latency-sensitive applications, using technologies or platforms such as OpenAI, Deepgram, Whisper, Hugging Face Transformers, or similar tools.
  • Experience building multi-agent or complex agent orchestration systems using LangChain or similar frameworks.
  • Experience working in healthcare, legal, or other regulated environments, including familiarity with AI safety, HIPAA, PHI, and Section 1557 requirements.

Nice To Haves

  • Prior experience with multilingual AI systems or low-resource language challenges is a plus.

Responsibilities

  • Own the architecture, development, and delivery of enterprise-grade AI systems from concept to production, including LLM, generative AI, agentic, multimodal, speech AI, and machine learning systems.
  • Prototype, build, and deploy real-time AI applications and infrastructure for speech, voice agents, LLM-powered workflows, and other latency-sensitive AI experiences.
  • Lead the development of AI capabilities including agent orchestration, tool calling, RAG, structured generation, memory, reasoning workflows, guardrails, and evaluation systems.
  • Evaluate and select models, architectures, frameworks, and technologies based on measurable tradeoffs across quality, latency, reliability, scalability, and cost.
  • Stay current with emerging AI research and industry trends, Rapidly prototype new AI approaches and convert successful experiments into reliable, scalable, and maintainable production systems.
  • Demonstrated ability to mentor engineers, conduct high-quality design and code reviews, and influence technical direction across a team.
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