4 Llmbased Systems Jobs

You should have industrial experience of 6-10 years with at least 3 years of experience in building and deploying LLM-based systems. A Bachelors degree (or above) in a relevant field such as Computer Science or Statistics is strongly preferred. Additionally, you must possess 3+ years of hands-on experience in AI/ML engineering, including real-world deployment of models and pipelines. Proficiency in Python is essential for this role. Moreover, the ideal candidate will have proven experience in building and deploying LLM-based systems, especially those utilizing retrieval-augmented generation (RAG). A solid understanding of vector databases, embeddings, and semantic search architecture is required. Strong skills in data engineering, including ETL pipelines, data cleaning, transformation, and large-scale processing, are also necessary. Experience in building REST APIs, containerizing services with Docker, and deploying to cloud infrastructure (preferably Azure or AWS) is highly desirable. A strong understanding of cloud platforms and modern data architectures (e.g., AWS, GCP, Azure) will be beneficial for this position.,

As a Founding Principal Engineer on the new Applied AI team within Autodesk's Data and Process Management (DPM) group, you play a crucial role in designing, building, and scaling AI-powered experiences that provide essential Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to customers. Your work will involve creating production-grade AI applications that are scalable, resilient, and secure, while also shaping the AI strategy for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction. You will be responsible for fine-tuning, evaluating, and deploying large language models (LLMs) in production environments, while balancing performance, cost, and user experience with real-world data and constraints. Additionally, you will collaborate with other engineering teams to define best practices for AI experimentation, evaluation, and optimization, as well as design frameworks and tools to facilitate the development of AI-powered experiences by other teams. To be successful in this role, you must hold a Masters in computer science, AI, Machine Learning, Data Science, or a related field, and have at least 10 years of experience building scalable cloud-native applications, with a focus on production AI/ML systems for at least 3 years. Deep understanding of LLMs, VLMs, foundation models, and related technologies, along with experience with AWS cloud services and SageMaker Studio is essential. Proficiency in Python or TypeScript, a passion for tackling complex challenges, and the ability to communicate technical concepts clearly to both technical and non-technical audiences are also required. Preferred qualifications include experience in the CAD or manufacturing domain, building AI applications, designing evaluation pipelines for LLM-based systems, and familiarity with tools and frameworks for LLM fine-tuning and orchestration. A passion for mentoring engineering talent, experience with emerging Agentic AI solutions, and contributions to open-source AI projects or publications in the field are considered a plus. Join Autodesk's innovative team to shape the future of AI applications and contribute to building a better world through technology.,

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should possess 12-15 years of experience in cloud-native and distributed systems, with 2-3 years focusing on GenAI/LLMs utilizing tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is essential. Experience with RAG, semantic search, agent orchestration, and MLOps is highly valued. Strong architectural acumen, effective stakeholder communication skills, and preferred certifications in cloud technologies, AI open-source contributions, and knowledge of security and governance are all advantageous.,

We are looking for a Systems Architect (AVP level) with extensive experience in designing and scaling Generative AI solutions for production. As a Systems Architect, you will play a crucial role in collaborating with data scientists, ML engineers, and product leaders to shape enterprise-grade GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI. You will also be responsible for architecting data pipelines, training/inference workflows, and MLOps integration. It is essential to ensure that the systems you design are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should have 12-15 years of experience in cloud-native and distributed systems, with at least 2-3 years of experience in GenAI/LLMs using tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is required. Experience with technologies like RAG, semantic search, agent orchestration, and MLOps will be beneficial for this role. Strong architectural thinking and effective communication with stakeholders are essential skills. Preferred qualifications include cloud certifications, AI open-source contributions, and knowledge of security and governance principles. If you are passionate about designing cutting-edge Generative AI solutions and possess the necessary skills and experience, we encourage you to apply for this leadership role.,