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Design and deploy secure enterprise AI solutions using Azure AI services, building RAG systems, AI agents, and vector search pipelines for a large Federal Government environment.
Designs and deploys secure, governed AI solutions on Azure OpenAI, building RAG agents, APIs, and vector search pipelines while ensuring responsible AI practices and cybersecurity compliance.
Own SQL Server databases and ETL pipelines, tune performance, and build vector-aware data stores to power AI features for an aerospace manufacturer.
Senior AI Engineer builds and deploys enterprise AI agents on Azure and Databricks to automate business processes across departments like sales and legal.
Build a reinforcement-learning decision system and lead a small engineering team, shipping customer-facing APIs and secure data pipelines in a fast-moving startup.
Design and build an AI-driven payments automation layer using LLM orchestration and multi-agent systems, while ensuring compliance and scalability in a regulated financial environment.
Short Summary: NCDIT-T Web Systems is seeking an AI Enablement Engineer with strong development experience in C#, Vue.js, Python, and the Azure ecosystem. Job description: The candidate will need to come on-site on the…
Build and scale an AI-powered clinical reasoning system that handles millions of patient consultations, improving safety and accuracy through agentic architectures, retrieval, and continuous learning.
Build and ship LLM-powered features end-to-end, writing prompts, running experiments, and iterating with React/TypeScript front ends and Python/Node back ends.
Builds, fine-tunes, and deploys large language models and AI applications end-to-end, focusing on scalability, latency, and security.
Senior AI Engineer builds and deploys production-grade ML and LLM systems, turning business needs into scalable AI pipelines and models using Python and SQL.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Design and build autonomous AI agents that decompose goals into actionable steps, integrate with enterprise systems, and deploy robust, observable agentic workflows with built-in failure handling.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Senior AI Engineer designs and deploys enterprise AI systems using TensorFlow, PyTorch, and LLM APIs, building scalable ML pipelines and computer vision/NLP solutions for fintech and healthcare clients.
Lead the design, optimization, and deployment of AI/ML models on AWS, using SageMaker, Bedrock, and vector databases to build scalable, cloud-native solutions.
Build and deploy AI/ML models on GCP for consumer data, CRM, loyalty, and e-commerce using Python, SQL, BigQuery, and Vertex AI.
Design, build, and maintain cloud-native data pipelines and AI services on AWS for Schneider Electric’s climate-tech products.
Build AI-first, agentic products that automate and scale SME advisory services using LLMs and generative AI in Python/TypeScript.
Build production-grade AI systems for clinical research using RAG, agentic workflows, and large-scale data pipelines across EHRs and PDFs.
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