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Architect and operate production-grade agentic AI systems for identity security and access management at enterprise scale, using Python, RAG pipelines, and frontier AI SDKs.
Senior Software Engineer owning technical architecture for full-stack, cloud-native web applications and integrating agentic AI/LLM workflows at Newmark, a commercial real estate services firm.
Build and maintain analytical applications, data pipelines, and AI-powered features using Python (Streamlit, Django, Plotly) and LLM techniques to support clinical research and transplant patient care at a precision medicine company.
Senior Data Engineer designing and building cloud-native data platforms and ETL/ELT pipelines to power enterprise AI/ML solutions across manufacturing, supply chain and finance at a global electrification company, using Python, SQL, Databricks, Spark and cloud platforms.
Leads applied AI/data science practice to build, evaluate, and deploy models for IFS Copperleaf’s AI products, focusing on explainable, defensible decisioning. Owns model lifecycle, MLOps, and AI governance while mentoring teams and shaping technical standards for forecasting, LLM tuning, and agentic systems.
Middle AI Engineer at MTS Web Services (Finance Block) building and maintaining ML/DL/LLM infrastructure, fine-tuning models, developing RAG search and document recognition systems, and creating production data pipelines using Python, PySpark, Airflow, and vector databases.
About the role This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on Forward Deployed AI Engineer to build and operate production agentic AI systems within a complex operational business. You…
Overview Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? OneNote team is at the forefront of an exciting transformation with Copilot…
The Senior Power Management and Systems Architect is a technical leadership role responsible for shaping the architecture and long-term strategy of our vehicle power management platforms. This individual will define…
Builds and maintains the AI and data platform that powers Afresh's grocery-focused products, focusing on retrieval, agent systems, and evaluation infrastructure for LLMs.
Senior engineer builds and operates the AI platform that turns raw grocery data into reliable context for LLMs and agent systems, including retrieval layers, evaluation harnesses, and production serving infrastructure.
Full stack developer on a 12-month contract using AI-assisted coding tools to build and integrate LLM/GenAI capabilities (RAG, chatbots, agents) into enterprise web applications with modern JS/TS frontends and Node.js/Python/Go backends on cloud/container platforms.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Design and develop large-scale ML/deep learning systems for Knowledge Q&A powering Siri and Spotlight, using Python/Scala/Go, Spark, and PyTorch/TensorFlow over knowledge graphs and web documents.
Build and maintain cloud-native back-end services for maritime IT networks while integrating AI/LLM features like RAG pipelines and agentic workflows using Python and distributed systems.
The GenAI Architect leads end-to-end client delivery and technical direction for an agentic AI platform. The role involves translating business requirements into architecture using RAG pipelines, MCP connectors, and hybrid orchestration across various enterprise systems.
Build and maintain an autonomous AI agent platform for hardware validation, designing LLM agent frameworks, RAG pipelines, and developer tooling to automate testing and knowledge management without human intervention.
Designs and builds AI/ML pipelines, including RAG systems and LLM integrations, to process and analyze data for intelligence missions in a fast-paced government-focused environment.
Build and maintain the data and ML infrastructure for an AI-powered decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure government environment.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure, accredited environment.
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