Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4349592467&distance=25.0&f_AL=true&f_TPR=r10000&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&refresh=true&sortBy=R&start=75 Job Description: Artificial Intelligence Engineer St Louis, MO · 24 minutes ago · 27 applicants Promoted by hirer · No response insights available yet $90/hr - $100/hr Remote Matches your job preferences, workplace type is Remote. Contract Easy Apply Save Save Artificial Intelligence Engineer at Triveni IT Artificial Intelligence Engineer Triveni IT · St Louis, MO (Remote) Easy Apply Save Save Artificial Intelligence Engineer at Triveni IT Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Practice mock interviews personalized to every role and get custom feedback Try Premium for PKR0 Meet the hiring team Shabnoor Malik 3rd Technical Recruiter @ Triveni IT | Sourcing Top Talent Job poster Message About the job We’re seeking a Voice Recognition Engineer to design and implement speech-driven interfaces that work seamlessly across major browsers. This role focuses on tailoring and extending Web Speech APIs and related technologies to deliver accurate, responsive, and user-friendly voice recognition experiences. You’ll help us unlock natural voice interaction for our products, ensuring accessibility, speed, and reliability across platforms. The Voice Recognition Engineer will design and optimize browser-based speech interfaces, focusing on cross-browser compatibility and accuracy. They will collaborate with product teams to enhance accessibility and user experience, leveraging and extending Web Speech APIs to deliver reliable voice interactions across platforms. Required Skills and Experience Experience applying voice recognition technologies across multiple browsers (Chrome, Edge, Safari, Firefox, and others) Proficiency in tailoring and customizing Web Speech API and related frameworks Demonstrated ability to improve speech recognition speed, accuracy, and noise resilience Strong understanding of cross-device compatibility for desktops, laptops, tablets, and smartphones Collaborative experience working with product, design, and technical teams to integrate voice features Proven track record in optimizing speech recognition for real-world, noisy environments Ability to support multilingual voice recognition and configurable speech duration features Knowledge of alternative speech processing frameworks beyond Web Speech API (e.g., Kaldi, DeepSpeech) Experience in building accessible and inclusive voice-driven interfaces Familiarity with performance benchmarking and model refinement for voice recognition Certifications or training in speech recognition, AI, or related fields Domain expertise in natural language processing (NLP) or machine learning techniques for speech