5 Gpt3 Jobs

You are an experienced Senior Full Stack Engineer with a strong interest in AI-driven technologies, looking to join a dynamic team. Your main responsibilities will include designing, developing, and maintaining scalable web applications that integrate large language models (LLMs) and AI agents into both frontend and backend systems. Collaboration with product managers, designers, data scientists, and fellow engineers is essential to deliver innovative, high-quality solutions leveraging the latest advances in artificial intelligence. The company you will be working for is a leading AI product company, focused on revolutionizing user experiences through cutting-edge solutions like AI Universal Search, last-mile navigation, and contextual guidance. Their technology has delivered impressive results, including a 70% reduction in support ticket volume, a +30% boost in product adoption, higher conversions, and improved Net Promoter Scores (NPS). Your key responsibilities will include full stack development, AI & LLM integration, API development, database management, collaboration with stakeholders, code review & testing, mentorship of junior engineers, and continuous improvement in adopting emerging AI technologies and best practices. In terms of technical skills, you should have proficiency in frontend frameworks like ReactJS, strong backend development experience with Node.js and Python, hands-on experience integrating large language models and AI technologies, familiarity with RESTful APIs, GraphQL, microservices architecture, relational and NoSQL databases, cloud platforms, DevOps practices, version control systems, and CI/CD pipelines. Soft skills required for this role include excellent problem-solving and analytical skills, strong communication and collaboration abilities, and the ability to work independently and manage multiple priorities in a fast-paced environment. Preferred qualifications include experience with containerization technologies like Docker and Kubernetes, knowledge of security best practices for web and AI applications, familiarity with automated testing frameworks and tools, and understanding of prompt engineering and multi-agent orchestration.,

As a Senior Full Stack Engineer at our modern Digital Adoption and Execution Platform, you will play a crucial role in designing, developing, and maintaining scalable web applications that incorporate large language models (LLMs) and AI agents. Your responsibilities will include collaborating with cross-functional teams to deliver innovative solutions that leverage the latest advancements in artificial intelligence technology. Your key responsibilities will involve full stack development, AI and LLM integration, API development, database management, collaboration with stakeholders, code review and testing, mentorship, and continuous improvement. You will be expected to have a strong technical background with expertise in frontend frameworks like React JS, backend development using Node.js and Python, integrating AI technologies, working with RESTful APIs, GraphQL, relational and NoSQL databases, cloud platforms, version control systems, and CI/CD pipelines. In addition to your technical skills, you should possess soft skills such as excellent problem-solving abilities, effective communication, collaboration skills, and the capability to work independently in a fast-paced environment. Preferred qualifications include experience with containerization technologies, knowledge of security best practices, familiarity with automated testing frameworks, and an understanding of multi-agent orchestration. If you are passionate about AI-driven technologies and looking to work in a dynamic environment where you can contribute to cutting-edge solutions, we invite you to join our team as a Senior Full Stack Engineer and be part of our journey towards revolutionizing user adoption and onboarding experiences in the SaaS industry.,

You are an experienced Senior Full Stack Engineer with a keen interest in AI-driven technologies, ready to join a dynamic team dedicated to designing, developing, and maintaining scalable web applications. Your role will involve integrating large language models (LLMs) and AI agents into both frontend and backend systems to deliver innovative, high-quality solutions that leverage the latest advances in artificial intelligence. You will collaborate with product managers, designers, data scientists, and fellow engineers to drive faster time-to-value across product suites. Your responsibilities will include designing, developing, and maintaining robust web applications with seamless integration between frontend and backend components. You will also integrate large language models and AI agents to enhance functionality, automation, and user experience. Building and maintaining efficient RESTful APIs and/or GraphQL endpoints for AI-powered features and services will be crucial. In addition, you will design and manage both relational and NoSQL databases to support AI-driven data workflows, while working closely with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions. Conducting code reviews, writing unit and integration tests, and ensuring code quality and performance will be part of your routine. You will also mentor junior engineers, sharing knowledge on AI integration, best practices, and modern development tools. Continuous improvement is key, so staying updated with emerging AI technologies, frameworks, and industry trends to drive the adoption of best practices is essential. As a qualified candidate, you should have at least 5 years of experience in full stack web development, proficiency in frontend frameworks like React JS, and strong backend development experience with Node.js and Python. Hands-on experience integrating large language models such as GPT-3 and BERT, familiarity with RESTful APIs, GraphQL, and microservices architecture, and a solid understanding of relational and NoSQL databases are required. Additionally, experience with cloud platforms (AWS, Azure, or GCP), DevOps practices, version control systems like Git, and CI/CD pipelines will be beneficial. Your soft skills should include excellent problem-solving and analytical abilities, strong communication and collaboration skills, and the capability to work independently while managing multiple priorities in a fast-paced environment. Preferred qualifications include experience with containerization technologies like Docker and Kubernetes, knowledge of security best practices for web and AI applications, familiarity with automated testing frameworks and tools, and an understanding of prompt engineering and multi-agent orchestration.,

As a Senior AI/ML Engineer specializing in Python/AI-ML, you will be responsible for developing and implementing AI/ML models using Python. Your expertise in Keras and Pandas will be essential for model development. Additionally, you will work with Generative AI and Large Language Models like GPT-3 and Transformers. Your role will involve building and managing data pipelines using technologies such as Kafka and big data platforms. Experience in Time Series modeling and knowledge of cloud platforms like AWS, Azure, or GCP for deployment and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack will also be beneficial. You should be able to create reusable ML components for scalable systems and possess excellent communication skills for collaborating with cross-functional teams. Exposure to GANs, synthetic data generation techniques, model compliance, and performance benchmarking will be considered advantageous. Mentoring junior developers and understanding model observability and monitoring tools are desirable qualities. With at least 5 years of hands-on experience in AI, Machine Learning, and Generative AI, you should have strong programming skills in Python, Keras, Pandas, and FastAPI. Familiarity with advanced ML models like LangChain, GPT-3, GANs, Transformers, and analytical models such as Time Series Forecasting and Predictive Modelling is required. Knowledge of databases like ChromaDB/Pinecone will be an added advantage. This role at UST, a global digital transformation solutions provider, offers the opportunity to work with cutting-edge technologies and make a real impact through transformation. Join our team of over 30,000 employees in 30 countries to innovate and build for boundless impact, touching billions of lives in the process.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,