3 Ai Assistants Jobs

As an AI Automation Executive, you will play a crucial role in supporting the design, development, and implementation of AI-based automation solutions across various business processes. Your responsibilities will include identifying automation opportunities, creating AI workflows, and enhancing operations through the use of cutting-edge tools and platforms. You will be tasked with identifying business areas and repetitive processes that can benefit from AI-driven automation. By leveraging AI tools, APIs, and automation platforms such as Zapier, Make, UiPath, and Power Automate, you will design and implement automation workflows to streamline operations. Additionally, you will develop and maintain chatbots, AI assistants, and other AI-based solutions using tools like OpenAI and Dialogflow. Collaboration with internal teams will be essential as you gather requirements and translate them into automation projects. Monitoring, analyzing, and optimizing automated processes to ensure performance, accuracy, and reliability will also be part of your responsibilities. Upholding data security and compliance standards within automation workflows will be a key priority. To excel in this role, you should possess a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Previous experience with AI tools, workflow automation platforms, or scripting languages like Python and JavaScript will be advantageous. Familiarity with tools such as OpenAI, ChatGPT, Zapier, Make (Integromat), and Power Automate is desirable. Strong problem-solving and analytical thinking skills will also be crucial for success. Staying updated with the latest trends and tools in AI, machine learning, and process automation will be necessary. Providing support and training to team members on new AI tools and systems, as well as documenting processes, workflows, and best practices for future reference, are key aspects of this role. This is a full-time position that requires in-person work. If you are a tech-savvy and innovative professional with a passion for AI automation, we encourage you to apply and be part of our dynamic team.,

You are looking for a Senior Cloud Engineer Fullstack to join our team at Navi Mumbai. As a Senior Cloud Engineer Fullstack, you will be responsible for designing and developing scalable and robust backend services. Your expertise in backend development, proficiency in backend programming languages such as Node.js, Python, or JavaScript, and experience with frameworks like NestJS, Express.js, or Django will be crucial for this role. You must have a strong understanding of Microservices Architecture, including designing and implementing microservices architectures. Your knowledge of service discovery, API gateways, and distributed tracing will be essential. Additionally, you should be proficient in designing, building, and maintaining RESTful and GraphQL APIs, along with experience in API security, rate limiting, and authentication mechanisms such as JWT and OAuth. Database management is another key aspect of this role, requiring strong knowledge of relational databases like PostgreSQL, MySQL, and NoSQL databases like MongoDB. Experience in database schema design, optimization, and management will be beneficial. Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud is a must, along with expertise in integrating AI and ML models into backend services. Good to have skills include proficiency in DevOps tools like Docker and Kubernetes, familiarity with CI/CD pipelines and tools such as Azure Devops and GitHub Actions, and experience in building or working with AI assistants or voice-activated systems. Knowledge of speech-to-text (STT) and text-to-speech (TTS) technologies, Large Language Models (LLMs), performance optimization, and frontend technologies like HTML5, CSS, JavaScript, ReactJs, Next.js, redux, and JQuery will be an added advantage. In terms of soft skills, you should possess strong analytical and problem-solving skills, excellent teamwork and collaboration skills, and strong verbal and written communication skills. Your ability to troubleshoot complex issues, work effectively with cross-functional teams, and articulate technical concepts to non-technical stakeholders will be valuable for this role. As a Senior Cloud Engineer Fullstack, your responsibilities will include designing and developing scalable backend services, integrating AI and ML models, API management, database handling, cloud deployment, collaboration with frontend developers, data scientists, and product managers, and continuous improvement by staying updated with emerging technologies and proposing innovative solutions. Join us at Jio Tesseract, a company on a mission to democratize mixed reality in India. Our recent products include Jioglass, a virtual reality eyewear designed and built by Tesseract for real-time connectivity. Tesseract develops technology for AR and VR-oriented products like cameras, headsets, and smart glasses. We have launched products such as Methane, a virtual reality 360-degree camera, and Quark, a mixed reality editing and sharing application. As a winner of various innovation awards, Tesseract offers a dynamic and innovative work environment for passionate individuals like you.,

Job Overview : We are seeking a Senior Backend Engineer with strong expertise in Python (Django or Flask) and a clear understanding of the entire software development lifecycle. The ideal candidate will have hands-on experience integrating Generative AI (LLMs) into real-world applications and working with tools like OpenAI APIs, LangChain, and vector databases. This role requires someone who can design robust backend systems, architect scalable AI-powered applications, and bridge traditional development with modern AI capabilities. Key Responsibilities: Design, develop, and maintain robust backend systems using Python (Django / Flask). Lead end-to-end development and deployment of applications with Generative AI (LLMs). Integrate OpenAI APIs, build prompt workflows, and implement RAG (Retrieval Augmented Generation) pipelines. Work with LangChain, Vector Databases (e.g., Pinecone, FAISS, Weaviate) to enable AI-based search and chat capabilities. Own the backend architecture of AI-enabled products including authentication, API integration, data pipelines, and performance tuning. Ensure scalable and secure deployment of backend services using Docker, CI/CD pipelines, and cloud platforms (AWS / Azure / GCP). Collaborate with frontend developers, AI/ML engineers, and product teams to translate business requirements into technical solutions. Follow and advocate best practices in SDLC, code quality, testing, and documentation. Required Skills & Qualifications: 6+ years of hands-on backend development experience in Python. Proficiency in Django or Flask for building REST APIs and backend systems. Strong understanding of the Software Development Lifecycle (SDLC) including agile methodologies. Deep experience with Generative AI / LLMs (e.g., OpenAI, Mistral, Claude, etc.). Experience with OpenAI APIs, LangChain, and prompt engineering. Good understanding of RAG architecture, vector databases, and unstructured data handling. Experience integrating third-party APIs and external systems. Strong skills in PostgreSQL / MongoDB / Redis. Familiarity with cloud infrastructure (AWS, GCP, Azure) and DevOps practices (Docker, CI/CD). Excellent problem-solving and debugging skills. Ability to mentor junior developers and contribute to system design discussions. Preferred Skills (Nice to Have): Experience with microservices architecture. Knowledge of event-driven architecture (e.g., Kafka, RabbitMQ). Exposure to frontend technologies like React.js is a plus. Hands-on experience with multi-modal models (e.g., text-to-image, audio). Prior work on chatbots, custom copilots, or AI assistants.