26 Llm Architecture Jobs

Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today's procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers...

Role Overview: As a Generative AI Engineer at our company, you will be a key member of our dynamic team, responsible for designing, building, and deploying cutting-edge generative models and applications. You will work on various tasks ranging from large language model (LLM) training and fine-tuning to developing sophisticated Natural Language Processing (NLP) solutions. If you are passionate about pushing the boundaries of artificial intelligence, we are excited to welcome you to our team. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques - Train, fine-tune, and evaluate large language models for specific use...

Required Skills & Experience 1215 years of overall experience with 57 years in AI/ML and 3+ years in Generative AI / LLM architecture. Strong hands-on experience with RAG pipelines, vector search, and semantic retrieval. Proven experience integrating LLMs (OpenAI, Claude, Gemini, Mistral, etc.) using frameworks such as LangChain, LlamaIndex, or PromptFlow. Deep understanding of MCP servers configuration, context routing, memory management, and protocol-based interoperability. Strong programming skills in Python, and familiarity with containerization (Docker, Kubernetes) and cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI). Expertise in MLOps/LLMOps tools (MLflow, KubeFlow, LangSm...

Role Overview: Join the Cisco AI Platform Team to contribute to shaping the future of enterprise AI. As a Senior Machine Learning Engineer, you will collaborate with a team of AI researchers, data scientists, and engineers to design, develop, and operationalize AI systems that drive measurable business impact worldwide. Your role will involve working on the forefront of AI innovation, bridging research with real-world applications to address fundamental challenges in AI. Key Responsibilities: - Deep Knowledge of LLM Architecture: Demonstrate a comprehensive understanding of large language model architectures, including Transformer-based models like GPT. - Language Model Training and Fine-Tun...

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered ...

Role Overview: You will be joining GlobalLogic as a Generative AI Engineer, where you will play a crucial role in designing, building, and deploying cutting-edge generative models and applications. Your responsibilities will include working on large language model (LLM) training, fine-tuning, and developing sophisticated NLP solutions. If you are passionate about artificial intelligence and pushing its boundaries, this role is for you. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accurac...

Job Description: This role is for one of the Weekday's clients. You will be responsible for exploring emerging AI models, building rapid prototypes, designing and running experiments, partnering with engineering teams, benchmarking models, staying ahead of AI evolution, and documenting & presenting findings. Key Responsibilities: - Explore Emerging AI Models: Continuously assess cutting-edge LLMs and multimodal systems including next-gen interaction models like voice interfaces, agentic UIs, and adaptive experiences across platforms such as OpenAI, Anthropic, Mistral, DeepSeek, and Meta. - Build Rapid Prototypes: Develop high-fidelity proof-of-concepts using modern agent frameworks and archi...

As a Senior Machine Learning Engineer at Cisco, you will be part of the AI Platform Team focused on creating cutting-edge AI solutions that power intelligent, secure, and scalable applications across Cisco's ecosystem. You will collaborate with AI researchers, data scientists, and engineers to design, develop, and operationalize AI systems that drive measurable business impact for millions of users worldwide. **Key Responsibilities:** - **Deep Knowledge of LLM Architecture:** Comprehensive understanding of Transformer-based models, such as GPT, and their variants. - **Language Model Training and Fine-Tuning:** Experience in training and fine-tuning large-scale language models for specific ap...

As an experienced candidate in the field of AI/ML with expertise in Generative AI / LLM architecture, you are expected to possess the following skills and experience: Role Overview: You should have a total of 12-15 years of overall experience, with a significant focus of 5-7 years in AI/ML and at least 3 years in Generative AI / LLM architecture. Your role will involve hands-on experience with RAG pipelines, vector search, and semantic retrieval. Additionally, you will be responsible for integrating LLMs from various providers such as OpenAI, Claude, Gemini, Mistral, etc., utilizing frameworks like LangChain, LlamaIndex, or PromptFlow. A deep understanding of MCP servers configuration, conte...

As an AI Evangelist at Elfonze Technologies, your role will involve architecting and evangelizing the company's AI vision. You will define strategy, build internal AI capabilities, and integrate next-gen intelligence across digital, cloud, and Oracle ecosystems. Your expertise in transitioning from Full-Stack/Digital Engineering into AI and Intelligent Systems will be essential for scaling AI adoption and productizing capabilities. Key Responsibilities: - Define and execute the AI transformation roadmap across service lines such as Digital, Oracle, Cloud, and Product. - Identify opportunities to embed LLMs, GenAI, and automation in delivery, pre-sales, and internal systems. - Build the inter...

**Job Description:** **Role Overview:** As a Generative AI Engineer at GlobalLogic, you will play a crucial role in the forefront of AI development. Your responsibilities will include designing, building, and deploying cutting-edge generative models and applications. If you are passionate about pushing the boundaries of artificial intelligence, this role is for you. **Key Responsibilities:** - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy. - Develop and integrate Retrieval-Augmented Generation (RAG) sys...

As a highly skilled GenAI & Agentic AI Consultant, you will contribute to the rapid development of the LLM-powered SaaS platform. This remote, contract-based opportunity focuses on delivering real-world AI solutions with LLM, Agentic AI, LangGraph, and GenAI stacks. - Lead the development and delivery of MVP and critical AI modules such as the blog engine, AI dashboard, and automation system. - Architect and integrate reusable modules including RSS scrapers, rewrite engines, and token-optimized AI APIs. - Collaborate with cross-functional teams like Product, Design, DevOps, and QA. - Utilize LLMs, LangChain, LangGraph, and AI orchestration frameworks like Agentic AI and MCP. - Maintain Agile...

Company Description TinyCheque is India's first funded AI venture studio. We will soon be launching our edtech vertical for technical users with at least 10 years experience in the industry. The courses will focus on senior engineers, project managers and others looking to upskill in system architecture, AI/LLM architecture, microservices and Microsoft Azure. Role Description This is a full-time role in our Gurgaon office, in which you will be responsible for speaking to inbound leads and explaining our course to them. Preference will be given to someone with prior coding experience or a software engineering background who has decided to switch to sales and has at least two years experience ...

Job description At YASH, were a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are seeking a highly skilled and experienced Solution Architect specializing in Data Science and AI to join our dynamic team. This role is crucial in designing and implementing scalable, robust, and efficient AI and data science solutions that address complex business challenges. You will work closely with stakeholders, data scientists, engineers, and product teams to translate business requirements into technic...

10+ years of experience in data architecture, distributed systems, or ML platform engineering. Deep experience building on-premises or hybrid data systems (e.g., Spark, Kafka, Trino, Iceberg, Airflow). Strong understanding of LLM architecture, embeddings, vector search, and agentic workflows. Proven experience designing and implementing ML pipelines, inference runtimes, and data retrieval frameworks. Proficiency with at least one programming language (e.g., Python, Go, Java) and AI/ML frameworks (e.g., LangChain, Haystack, Hugging Face Transformers). Demonstrated expertise in designing and building scalable, production-grade RESTful APIs, enabling seamless integration across distributed syst...

As a Senior Machine Learning Engineer at Cisco Security AI, you will play a crucial role in developing and implementing cutting-edge AI solutions to enhance cybersecurity. Here's a breakdown of what is expected from you: Role Overview: You will be responsible for leading the development and implementation of machine learning models that address real-world cybersecurity challenges. Your expertise in large language models (LLMs), particularly Transformer-based models like GPT, will be key in designing models that effectively handle ambiguities, nuances, and context in natural language processing. Key Responsibilities: - Deep Knowledge of LLM Architecture: Demonstrate a comprehensive understand...

As a Junior AI Engineer at our company, you will be an integral part of the AI team, focusing on leveraging LLMs such as GPT, LLaMA, and Claude to develop innovative solutions for web products and internal tools. **Key Responsibilities:** - Assist in building and integrating LLM-based applications using OpenAI API, HuggingFace Transformers, or similar frameworks. - Fine-tune pre-trained models with custom datasets to optimize performance on specific tasks. - Develop prompt-engineered workflows for tasks like content generation, summarization, chatbots, and automations. - Collaborate closely with UI/UX and backend teams to seamlessly embed AI features into products. - Document model behavior,...

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, were a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI/ML Solution Architect Experience: 1114 Years Job Type: Full-time We are seeking a highly skilled and experien...

Develop and deploy AI services using Azure OpenAI model, optimizing them for various use cases. Implement prompt engineering to maximize the effectiveness of generative models for business applications. Build, deploy, and manage AI/ML models using Azure ML Studio, ensuring seamless integration into production environments. Design and maintain scalable APIs using FastAPI or Flask for integrating AI services into applications. Leverage Azure Document Intelligence to create solutions for automated document processing and data extraction. Ensure efficient deployment, scaling, and management of AI services in Azure, focusing on performance and cost optimization.

AI/ML Engineer-(Azure AI Services)- Remote Job description We are hiring for a AI/ML Engineer with expertise in LLM Architecture , Azure Open AI services The ideal candidate will have experience leveraging pre-trained OpenAI models, applying prompt engineering, and deploying AI solutions in production environments. You will be responsible for Architecture, building, managing, and deploying scalable AI services using Python (FastAPI/Flask) and Azure technologies, with a focus on document processing, AI workflows, and operational excellence. Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

The Cisco Security AI team is dedicated to delivering AI products and platforms for all Cisco secure products and portfolios, enabling businesses worldwide to defend against threats and protect critical aspects of their operations with security resilience. We are committed to enhancing business security and simplifying security measures through the use of AI and Machine Learning. We are currently looking for a talented Machine Learning Engineer who can contribute significantly to the cybersecurity industry. As an accomplished and forward-thinking Senior Machine Learning Engineer, you have a proven track record of leading teams and designing machine learning solutions that have had a substant...

About Enterpret Enterpret is at the forefront of AI-native applications, unlocking the power of customer feedback for businesses. We centralise feedback from every channel and transform it into actionable insights that drive customer-centric decisions for teams at the world&aposs leading companies like Perplexity, Notion, Canva, and Figma. Backed by investors such as Kleiner Perkins and Peak XV, we&aposre redefining how businesses understand and act on the voice of their customers. Read more about our team, core values, and operating principles here. About the Role We are looking for a Head of Engineering to build and scale Enterprets engineering org for the next phase of growth. This is the...

As a Senior AI/ML Engineer with 8 years of experience based in Bangalore, you will be responsible for leveraging your expertise in Prompt Engineering, Large Language Models (LLMs), and Agentic AI frameworks. Your primary focus will be on designing, implementing, and optimizing AI-driven solutions that capitalize on the latest advancements in generative AI. Your key responsibilities will include developing prompt engineering strategies to enhance AI model performance, fine-tuning LLM hyperparameters like temperature and top_p, building and deploying solutions using Agentic AI frameworks such as LangChain, LangGraph, and Crew AI. You will also be involved in implementing Retrieval-Augmented Ge...

Hiring GenAI Python Developer with experience range 3 to 8 Years of experience Mandatory Skills: Python, LangChain techniques, LLM architectures, GPT, BERT, Streamlit, RAG mechanism Education: Btech/BE, BCA/MCA,Bsc/MSc

Develop and deploy AI services using Azure OpenAI model, optimizing them for various use cases. Implement prompt engineering to maximize the effectiveness of generative models for business applications. Build, deploy, and manage AI/ML models using Azure ML Studio, ensuring seamless integration into production environments. Design and maintain scalable APIs using FastAPI or Flask for integrating AI services into applications. Leverage Azure Document Intelligence to create solutions for automated document processing and data extraction. Ensure efficient deployment, scaling, and management of AI services in Azure, focusing on performance and cost optimization.