9 Llm Architecture Jobs

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 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 technical architectures and roadmaps. Your expertise will drive the successful delivery of innovative AI-powered products and services. Responsibilities Define solution architecture across data science and GenAI initiatives. Translate business requirements into technical solutions. Review design, scalability, performance, and compliance. Act as bridge between business, engineering, and leadership. Required Skills Experience in handling delivery. Proven experience architecting cloud-native AI/ML/GenAI solutions. Deep understanding of LLM architecture and GenAI orchestration. Knowledge of graph databases, security best practices, cost optimization. Excellent client communication and stakeholder alignment skills. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Show more Show less

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 substantial impact. Your passion for machine learning is evident through your successful development and implementation of models that effectively address real-world challenges. You possess deep knowledge of LLM Architecture, including a comprehensive understanding of large language models such as Transformer-based models like GPT and their variations. Your expertise extends to Language Model Training and Fine-Tuning, Data Preprocessing for NLP, Transfer Learning and Adaptation, Handling Ambiguity and Context in Text, Application of LLMs, Data Annotation and Evaluation, as well as Scalability and Deployment. In your role, you will be responsible for tasks such as Model Training, Optimization, and Evaluation, Algorithm Development for Enhanced Language Understanding, Applying LLMs to Cybersecurity, Deployment Strategy, Documentation and Best Practices, Experimentation with Emerging Technologies and Methods, and Mentoring and Cross-Functional Collaboration. Basic qualifications for this position include a BA/BS degree with 7+ years of experience or an MS degree with 5+ years of experience as a machine learning engineer. You should have solid experience in machine learning engineering, a strong portfolio of successful projects, and expertise in building machine learning systems and scalable solutions. Proficiency in machine learning algorithms, deep learning, and statistical modeling is also essential. Preferred qualifications include an advanced degree in Computer Science, Data Science, Statistics, Computational Linguistics, or a related field, proficiency in programming languages such as Python or R, experience with machine learning libraries like TensorFlow, PyTorch, scikit-learn, excellent problem-solving and communication skills, and a proven ability to work collaboratively in cross-functional teams.,

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 senior engineering leadership role, focused on shaping org health, growing exceptional leaders, and ensuring the companys technical direction delivers high-impact, high-quality software at scale. You will own the engineering strategy, grow and coach managers and technical leads, and embed AI-native thinking into the way the org works and ships. If you are a strategic operator who thrives on leading through leaders, aligning technical bets with business priorities, and creating a culture where innovation can scale, wed love to talk. What Youll Do Own and evolve the long-term engineering strategy across infra, data, AI, and product engineering, translating company bets into scalable, actionable org-wide goals Build and lead a high-performing engineering org - hire, grow, and coach managers and technical leads, ensuring every team has empowered, high-agency leadership Drive company-wide AI adoption - achieve 50x+ org-wide impact through AI-enabled productivity, delivery acceleration, and innovation; coach leaders to embed AI into hiring, execution, and product delivery Set a high bar for org execution - deliver predictable, high-quality outcomes through clear operating rhythms, review mechanisms, and scalable processes without sacrificing speed Provide strategic clarity and guardrails for complex, high-stakes decisions - enabling leaders to solve challenges that balance product vision, scalability, and business needs Drive technical alignment across the org - ensure architectural principles, quality standards, and AI-first patterns are consistently applied by all teams, enabling seamless integration and scalability across products and systems. Design for 10x scale - ensure systems are resilient, secure, cost-optimized, and ready for real-time use cases by embedding performance, scalability, and maintainability as non-negotiables Champion a culture of ownership, psychological safety, and high accountability - with clear feedback loops, growth paths, and recognition of team accomplishments What It Takes 12+ years of engineering experience, with 35 years in senior leadership roles managing managers and technical leads Proven success in scaling high-performing engineering orgs in product-led environments Deep understanding of modern system design, cloud infra (AWS/GCP), microservices, and data-intensive applications Hands-on understanding of AI/ML systems and LLM architecture to set direction and ensure teams are building AI-native products Ability to think in bets, influence executive decision-making, and balance long-term technical health with near-term business needs Skilled communicator and cross-functional influencer clear, direct, and inspiring Passion for mentorship, culture-building, and leading through leaders Why Enterpret End-to-End Ownership: Own the entire engineering function from scaling infra to embedding AI into every layer of the product. No red tape, just impact. Define the Bar: Set the gold standard for engineering culture, architecture, and velocity in a product-led, AI-native company. Tech Playground: Build on cutting-edge systems generative AI, real-time data pipelines, and multi-tenant cloud infra at scale. Strategic Seat: Work directly with founders and influence product and company strategy at a stage where every decision compounds. Team of Builders: Join a sharp, execution-first team trusted by Notion, Canva, Loom, and backed by Sequoia & Kleiner Perkins. Shape the Org: Design long-term org structure, grow high-agency leaders, and create an engineering brand that attracts top talent. Move Fast, Learn Fast: Experiment with new technologies, iterate quickly, and ship to real users who depend on us. Well-Rewarded: Competitive salary, meaningful equity, premium health cover and generous leave. What We Value At Enterpret, we operate with a deep sense of ownership we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better. As the Head of Engineering, you will set and exemplify these values leading through leaders, building a culture where great managers and teams thrive, and ensuring the org is aligned, accountable, and constantly raising the bar. Show more Show less

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 Generation (RAG) pipelines for knowledge-driven AI systems, evaluating LLMs, and ensuring model quality and accuracy through observability. Writing clean and efficient Python code, deploying AI/ML applications on cloud platforms like AWS, Azure, or GCP, and collaborating with cross-functional teams to integrate AI capabilities into products and services are essential aspects of this role. To excel in this position, you must possess expertise in Prompt Engineering strategies, a deep understanding of LLM architecture and hyperparameters, hands-on experience with Agentic AI frameworks, RAG implementation, LLM evaluation, Python programming skills, and cloud deployment experience on major platforms like AWS, Azure, or GCP. If you are passionate about AI and machine learning, have a strong background in Python programming, and are eager to work on cutting-edge AI technologies to drive innovation, this role offers you an exciting opportunity to contribute to the development and deployment of advanced AI solutions.,

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.

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