3 Voice Assistants Jobs

As a Senior Software Engineer at Yularatech, you will be responsible for designing and developing high-performance systems using C and C++ programming languages, with a focus on Infotainment systems. With a minimum of 4 years of experience, you will follow Agile principles to create software solutions for Cluster/Cockpit operations on operating systems like Linux, Android, and QNX. Your primary responsibilities will include designing, developing, and maintaining software systems based on object-oriented principles, as well as building and validating Cockpit features. You will work closely with cross-functional teams to deliver innovative and reliable software solutions that meet the needs of our international client base. Key technical skills required for this role include proficiency in C and C++ programming, knowledge of operating systems such as Linux, Android, and QNX, experience with Test Driven Development methodologies, and familiarity with networking protocols like CAN, LIN, Ethernet, UART, and SPI. Additionally, you should have experience in areas such as Infotainment development, HMI tools, multimedia, and hypervisor-related software development. In addition to technical skills, soft skills are also essential for this role. You should possess impactful communication skills, be able to work autonomously, and demonstrate problem-solving and analytical skills. Leadership qualities, mentoring abilities, and a proactive attitude are also valued qualities in this position. As a part of the team, you will collaborate with stakeholders to gather requirements, manage multiple projects, and deploy software for various cockpit-related functionalities. You will also contribute to code reviews, optimize applications for performance, and ensure timely delivery and adherence to quality standards. To be successful in this role, you must have a minimum of 4 years of experience in software development, a good understanding of Object-Oriented programming principles, and a degree in engineering or computer science. Experience with AUTOSAR, infotainment systems, and IPC mechanisms will be beneficial. Staying updated with the latest market trends and technologies is essential for enhancing software capabilities. Working at Yularatech, you will have the opportunity to work on impactful projects in a collaborative and inclusive environment. We offer a competitive salary, comprehensive benefits package, and continuous learning and professional development opportunities.,

Jio Haptik, an AI leader in the industry, acquired by Reliance Jio Digital Services in April 2019, is at the forefront of AI-powered innovation. With a remarkable track record of processing over 15 billion two-way conversations across various channels and languages, Haptik stands out as a Category Leader recognized by esteemed platforms like Gartner, G2, and Opus Research. Noteworthy accolades include winning the Tech Startup of the Year in the AI category at Entrepreneur India Awards 2023 and the gold medal for Best Chat & Conversational Bot at Martequity Awards 2023. Currently, Haptik boasts a dedicated team of 200+ employees operating from offices in Mumbai, Delhi, and Bangalore. As a Test Automation Engineer at Haptik, you will be responsible for designing, developing, and maintaining automation test suites encompassing API, UI, integration, and regression testing. Your role will involve collaborating with developers and product managers to formulate effective test strategies for new features spanning web, voice, and GenAI-based workflows. Additionally, you will play a crucial role in establishing automated CI pipelines for test execution and reporting, identifying and addressing QA bottlenecks in release cycles, ensuring comprehensive test coverage for critical use cases, and contributing to post-release test automation to mitigate regressions. To thrive in this role, we are seeking candidates with 3-6 years of experience in test automation within the realm of scalable SaaS or platform products. Proficiency in utilizing test automation frameworks such as Selenium, Playwright, or Cypress is essential, along with a strong grasp of API testing tools like Postman, RestAssured, or Karate. Familiarity with CI/CD tools like GitHub Actions, Jenkins, or GitLab CI, coupled with proficiency in scripting languages such as Python, JavaScript/TypeScript, is highly desirable. An adept understanding of backend systems, experience in Agile/Scrum environments, and exposure to testing LLM-based features, chatbots, or voice assistants will be advantageous. At Haptik, you will be part of a dynamic team that thrives on innovation and collaboration. Working alongside industry leaders recognized by Business World, Forbes, and MIT, you will have the opportunity to contribute to disrupting the ever-expanding AI market. The organizational culture at Haptik fosters a spirit of creativity and freedom, emphasizing the importance of taking breaks while working diligently. As we navigate towards a Gen AI-first world, Haptik remains committed to empowering its employees to drive impactful solutions and embody core values such as honesty, ownership, perseverance, communication, impact, curiosity, courage, agility, and selflessness.,

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,