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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.
Orange Business is here! About us Join us at Orange Business! We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic…
Build and maintain scalable AWS data pipelines and Snowflake warehouses using Python, SQL, and graph/vector databases to support analytics and AI workloads.
Build and maintain scalable data pipelines on AWS and Snowflake, integrating vector/graph databases with AI workflows using Python and SQL.
Leads a team to design and build a scalable AWS/Snowflake-based data platform for manufacturing, supply chain, and engineering data—focusing on ingestion, transformation, and real-time analytics pipelines.
Lead a team building scalable data pipelines and infrastructure for an AI-driven platform, designing systems for vector search, ML workflows, and real-time analytics using Python, Spark, Kafka, and vector databases.
Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
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…
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.
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Builds and deploys LLM/NLP-based AI agents, RAG systems, and GenAI pipelines using Python, FastAPI, and PyTorch for enterprise clients.
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 SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD systems.
Build and scale SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD tooling.
Build and scale backend services for Constructor’s AI-powered e-commerce search platform, focusing on ML infrastructure, model serving, and distributed systems.
Design and deploy AI systems that automate market analysis and decision-making using LLMs, RAG, and agentic workflows for a trading-focused team.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, then integrate them into enterprise systems with clean, testable code and CI/CD.
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