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Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Build AI agents that analyze session replays to surface issues and recommendations using LLMs, vector databases, and orchestration frameworks.
Build and optimize LLM-powered AI assistants for a bank’s customer service channels, integrating models like GPT and Llama with internal APIs and RAG architectures.
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Build scalable backend systems for AI-powered customer-agent platforms using LLMs/SLMs, orchestration, and real-time inference pipelines in a hybrid Noida role.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Build and deploy AI/ML systems for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.
Build and deploy LLM-powered AI solutions, including RAG pipelines and NLP applications, using Python, LangChain, and cloud platforms like Azure/AWS/GCP.
Build and deploy AI/ML models using Python, FastAPI, and Generative AI tools like LangChain and vector databases to create scalable solutions for clients in media, e-commerce, and other tech sectors.
Build cloud-native search and LLM-powered workflows using React, Node.js, and Elasticsearch; integrate RAG and semantic search in a secure, mission-driven environment.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Build and maintain AI-powered search infrastructure for a learning platform, designing Elasticsearch pipelines, hybrid retrieval systems, and backend services to deliver low-latency, high-relevance results at scale.
Engineering Manager (AI) Location: North Sydney, New South Wales Time Type: Full time Job Description Company Description Nine is Australia’s largest locally owned media company. Working at Nine, you’ll have access to…
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
Design and build the data infrastructure for a next-gen AI platform, focusing on vector search, knowledge graphs, and semantic retrieval at global scale.
Design and implement AI/LLM features and architectural patterns for a fintech compliance platform, working hands-on in code and collaborating with engineering teams.
Senior AI Product Engineer builds and maintains a multiplatform AI-powered document system, shipping end-to-end features with React, Node.js, PostgreSQL, and agentic AI workflows using LangGraph and MCP.
Build and ship AI-powered features and agentic workflows end-to-end, working directly with frontier model APIs like Claude and OpenAI to turn ambiguous opportunities into working products.
Build and maintain enterprise-scale agentic AI platforms, integrations, and workflows using Python/Java/Go, LangChain, and GCP/Vertex AI.
Senior Manager, Technical Program Management Location: Bengaluru, India Time Type: Full time Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United…
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