Senior Staff Engineer

Work Flexibility: Hybrid or Onsite

Who we want:
Vocera now a part of Stryker is looking for a talented, hands-on Senior Staff Engineer (AI Application Developer) to join our growing organization and contribute to the development of cutting-edge AI applications. You will help to design and implement new requirements for various speech interactions between the Stryker endpoints and front-end applications in a hybrid cloud architecture. This role is perfect for someone passionate about AI technologies and eager to solve real-world problems.

What you will do:
Technical Responsibilities:

• Integrate pre-trained speech recognition and other AI models into our applications to drive new features.

• Develop voice-enabled applications such as virtual assistants, voice search, transcription services, speaker diarization, and voice commands, using speech recognition APIs and other AI tools

• Fine-tune existing speech models to meet the specific needs of the application, adjusting for domain-specific vocabulary, accents, and background noise.

• Work with UI/UX designers to create intuitive, user-friendly voice interfaces and ensure that speech recognition is a seamless part of the user experience.

• Conduct thorough testing of voice-enabled features, evaluating the system's accuracy, responsiveness, and scalability across various devices and environments.

• Partnering effectively with product owners and key internal stakeholders to ascertain product requirements.

• Practicing good engineering methodologies within an Agile development framework.

• Actively engaging in continuous learning through peer review and professional development opportunities.

• Write clear documentation for the integration process, usage guidelines, and troubleshooting tips to help other developers and stakeholders work with these AI-based features.

• Develop several invention disclosures, patents, or trade secrets

• Independently make design tradeoff decisions while designing multiple components of the system

• Ability to generate and review the necessary documents with project teams. (requirements/design/architecture/bugs/test)

• Contribute to and execute customer-facing activities like the voice of the customer and customer-centric design in partnership with internal and external stakeholders

Minimum Qualifications (Required):
• Bachelor's degree in Software Engineering/ Computer Science or related discipline & 6+ years of work experience

Preferred Qualifications (Strongly desired):
Technical Skills:

• Experience integrating third-party APIs and services, particularly speech recognition APIs (e.g., Microsoft Azure Speech, Google Cloud Speech-to-Text, and AWS Transcribe).

• Experience with Microsoft Azure Open AI studio to develop voice-driven applications.

• Strong experience with cloud platforms and services such as Azure for data storage and application development.

• Good understanding of large language models, extensive experience in natural language processing (NLP), and a proven track record of developing, testing, and refining high-quality prompts that enhance AI model performance.

• Solid background in Java development.

• Strong understanding of speech recognition concepts, including transcription accuracy, speech-to-text workflows, and handling of noisy audio data.

• Proficient in scripting languages such as Python for data engineering and automation.

• Hands-on expertise in designing cloud-native architectures on Azure, focusing on scalability, security, and cost optimization.

• Familiarity with other cloud platforms such as AWS and GCP, and their associated services.

• Experience with audio processing tools and libraries (e.g., FFmpeg, pydub) is a plus.

• Exposure to Natural Language Processing (NLP) or other AI tools integrated with speech recognition, such as sentiment analysis or intent recognition.

Travel Percentage: 10%