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Builds web and mobile apps for a retail field-force platform, adding AI agents, RAG pipelines, and vector search to automate workflows.
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Lead a team to design and build scalable data pipelines and infrastructure for AI applications, focusing on vector search and RAG systems using Python, SQL, ETL, NoSQL, and Kubernetes.
Lead a team to design and maintain scalable data pipelines for AI/LLM systems, including vector search, RAG, and semantic retrieval, ensuring high-performance enterprise data infrastructure.
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
Build full-stack AI features for a fintech startup: Next.js/Tailwind frontend, Python/FastAPI backend with OpenSearch and RAG pipelines to power investment research agents.
Lead the design and build of a Singapore government-wide search platform using GenAI, vector search, and cloud-native stacks (Node.js/TypeScript, Azure/AWS/GCP).
Build and lead a GenAI-powered search platform using LLMs, RAG, and vector databases while mentoring engineers and defining scalable, secure architectures.
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Design and implement AI solutions using LLMs, RAG pipelines, and cloud platforms, integrating them with enterprise systems and building predictive models.
Build and deploy AI/ML models and RAG systems in AWS GovCloud for secure government workflows, using Python and FedRAMP-authorized services while ensuring compliance and Zero Trust security.
Build and scale LLM-powered analytics features for healthcare data, including RAG, text-to-SQL, and agent workflows on AWS and Snowflake.
Build and scale a global SaaS platform using .NET Core, TypeScript, and AWS, while integrating LLMs to enhance conversational voice intelligence products.
Build AI-powered features for an early-education SaaS platform, turning raw workflow data into automated recommendations and actions that help school leaders and teachers save time and make better decisions.
Software Developer AI Developer Skills Required: Python, FastAPI, AWS, PostgreSQL, Async Programming, Background Job Orchestration, Distributed Systems, Retrieval-Augmented Generation (RAG), Vector Search, Embeddings,…
Software Engineering Manager - HIH - Evernorth Location: Hyderabad, India Remote Type: Hybrid Time Type: Full time Job Description INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in…
Builds AI-powered features end-to-end: designs LLM agents, integrates models (OpenAI/Anthropic), and crafts responsive UIs with Vue 3/React and TypeScript.
Build and maintain data pipelines to support analytics and reporting for a fintech company.
ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer…
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