5 Llm Architecture Jobs

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