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Build real-time data pipelines and vector databases to power AI agents, transforming logs and docs into embeddings for RAG systems.
Build and deploy scalable data pipelines and AI infrastructure for enterprise clients, focusing on ETL/ELT, vector databases, and real-time streaming to power AI-driven solutions.
Design and optimize enterprise RAG platforms using vector databases and semantic search to power AI-driven knowledge systems and integrations with LLMs.
Build Retrieval-Augmented Generation systems that combine LLMs with enterprise knowledge, designing vector search pipelines and document ingestion to deliver accurate, context-aware AI responses.
KSL Capital Partners – Information Technology - AI Data Engineer – Denver, CO Description KSL Capital Partners, LLC (“KSL”) is a leading global private equity firm specializing in travel and leisure enterprises. KSL…
Build and deploy generative-AI applications (RAG, agents, copilots) on Azure/OpenAI, turning healthcare and insurance data into production-grade AI services with robust governance.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
Company: Marsh McLennan Agency Description: We are seeking a talented individual to join our MMA team at Marsh. This role will be based in Pune/Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at…
Builds full-stack web apps in Python (Flask/Django) with React/TypeScript front ends, integrating LLM capabilities via RAG and processing large datasets with PostgreSQL, ArangoDB, and vector search.
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
A senior engineer embedded with enterprise clients to advise on AI governance, scope AI projects, and build production-ready solutions using LLMs and agentic workflows.
Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Build and scale backend services for Constructor’s AI-powered e-commerce search platform, focusing on ML infrastructure, model serving, and distributed systems.
Build and scale an internal AI platform using LLMs, vector databases, and agent frameworks to automate engineering workflows and create AI assistants for sales, design, manufacturing, and leadership.
Software Engineer - AI Location: Gurugram, India Department: Engineering At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and…
Design and deploy AI systems that automate market analysis and decision-making using LLMs, RAG, and agentic workflows for a trading-focused team.
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