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As an Applied AI Developer III within LGI's AI Lab, you will design and deploy artificial intelligence components integrated into LGI's healthcare solutions. As part of a small multidisciplinary team dedicated…
Lead AI/ML engineer at Staples in Chennai who architects agentic AI and Model Context Protocol (MCP) solutions, builds full-stack AI apps (React, Node.js, TypeScript), and integrates LLMs (Claude/GPT) with RAG, prompt engineering, and MLOps tooling like PyTorch, Kubernetes, Vertex AI, and Azure ML.
People-and-strategy role leading NetDocuments' AI Search engineering team, which builds the embedding models and indexing pipelines powering semantic search across its legal document management platform. Focus is on roadmaps, mentoring managers, and stakeholder alignment rather than day-to-day coding, with cloud work on Azure/AWS, vector search, and RAG-adjacent technologies.
Data Engineer at Lawrence Livermore National Laboratory building and modernizing data systems that make mission-critical scientific and engineering data discoverable, reusable, and analyzable. Day-to-day work spans automated data pipelines, schema/metadata design, data quality and lineage, REST APIs, and DataOps practices in Python, supporting national security (Strategic Deterrence) programs.
AI/ML engineer in Severgroup's internal team, developing ML for product-data matching and semantic search: training and fine-tuning LLM/embedding models for classification, matching, and ranking tasks, then integrating them into production services with Python, Kafka, and Docker.
Full-stack Python developer building scalable enterprise applications: Python backends (FastAPI/Flask/Django), React/Angular frontends, REST APIs and microservices, with heavy GenAI work integrating LLMs (OpenAI, Gemini, Claude), RAG, vector search, and AI agents, deployed on AWS/Azure/GCP.
Employment Duration: 9 months Location: Toronto, hybrid Employment Type: Full-time About Paralucent Paralucent brings clarity to complex work, helping organizations move beyond complexity toward clarity through…
Staff full-stack engineer on Snowflake's ET Applications team, building AI agents and applications for revenue accounting and quote-to-cash finance workflows. Day to day: architecting agentic LLM systems with harnesses, guardrails, and observability, integrating ERPs like SAP/Oracle, and writing SQL-heavy finance tooling in a hybrid Dublin, CA office.
AI/ML analyst supporting Federal and DoW clients: leads analytics studies and builds/deploys GenAI-powered agents (LLMs, RAG pipelines, vector stores) for cost estimating, acquisition analysis, and operations research in secure government environments.
Build and deploy production AI agents that combine frontier models with enterprise data and software, designing reasoning systems, retrieval pipelines, and multi-agent workflows for Fortune 100 clients.
Build and deploy production AI agents that automate workflows, reason over enterprise data, and integrate with customer systems using LLMs, retrieval, and traditional ML.
Design and deploy production AI agents that combine frontier models, retrieval, and structured knowledge to automate complex workflows for enterprise customers across industries like finance and healthcare.
Overview Security represents one of the most critical priorities for our customers in a world of evolving digital threats, increasing regulatory requirements, growing estate complexity, and rapid advances in AI.…
VIE consultant in Sia's AI & Data unit in Sydney, designing and deploying generative-AI, agentic-AI, and data science solutions (LLMs, RAG, ML models) for consulting clients alongside data scientists and architects. Requires an advanced degree, 1+ year of experience, Python, and French/EEA nationality for VIE eligibility.
Egen is hiring an ML platform engineer to embed with a healthcare/life-sciences AI client, running and tuning large multi-node GPU training (PyTorch FSDP/DeepSpeed/Megatron, Ray Train) on a GKE H200/GB200 cluster. Day to day: tune NCCL/RDMA networking, benchmark throughput, build eval harnesses, and debug training and platform issues end to end.
JODAYN is hiring an AI Architect in Riyadh to define and govern enterprise AI architecture — spanning machine learning, generative AI/LLM platforms, MLOps/LLMOps, RAG, data architecture, responsible-AI controls, and secure integration patterns. The role sets AI standards, roadmaps, and governance while advising enterprise transformation initiatives.
Looking for strong AIML ENgineer. Key Responsibilities Design, develop, and maintain AI-powered applications and platform services. Build and enhance Generative AI solutions using enterprise-approved LLMs and AI…
Lead AI Engineer who designs, builds, and deploys production AI features (LLMs, RAG, multimodal AI, agents) across WPP Media's creator, influencer, and social commerce platforms in Manila. Combines hands-on Python/LLM engineering and AI infrastructure work with technical leadership and mentoring of junior engineers.
As a Lead Data and Analytics Engineer, you will drive measurable business impact by designing and implementing data solutions that transform how our Corporate Services and HR business partners operate. You will serve…
Role Overview We are seeking an accomplished AI Architect with 15+ years of technology experience to define and deliver enterprise-scale AI solutions spanning machine learning, Generative AI, Agentic AI, engineering…
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