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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.
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.
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.
Build AI-driven agentic workflows and data products to automate logistics processes using LLMs, RAG, and Azure cloud services.
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…
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
Build and deploy production-grade AI and GenAI solutions for banking products, using Python, TensorFlow/PyTorch, and cloud-native tooling.
Lead AI Engineer builds and deploys ML models and Gen-AI agentic apps in Python using TensorFlow/PyTorch, integrating them into production systems for Westpac’s banking products.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Build production-grade generative AI and RAG systems using Python, LlamaIndex, and LangChain to power customer-facing SaaS products with measurable business impact.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Build and scale AI-powered data pipelines that turn messy environmental data into clean, business-ready outputs using LLMs, vector search, and Python.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build and deploy AI-powered features for an automotive finance SaaS platform, integrating LLMs and cloud AI services into production applications.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Builds and scales AI-powered data platforms for vehicle engineering, using agentic workflows, LLMs, and distributed systems to monitor design processes, detect anomalies, and automate remediation for safety and quality.
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