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Risk Estimator ARKION Platform Standard For Executives Built for boards, CIOs, and audit committees Executive Brief A non-technical overview of the NHI governance gap and how Arkion closes it. Built to forward to your…
Job Description We are seeking an experienced Backend Software Engineer with a strong software engineering foundation and a keen interest in Generative AI to join our expanding GenAI team. Why You'll Love Working…
The Senior Data Scientist will lead end-to-end machine learning projects, from business problem conception to deployment and monitoring, within a healthcare environment. The role focuses on building scalable AI solutions using Python, GCP, and MLOps practices, while mentoring junior team members.
The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
The AI Engineer will design and develop LLM-based virtual assistants and agentic workflows for enterprise clients in the energy sector. The role focuses on building scalable RAG pipelines and deploying GenAI solutions from prototype to production using Python, TypeScript, and cloud-native tools.
Builds and maintains AI-driven document parsing pipelines (OCR, VLM, multimodal AI) for SingTel’s AIDA unit, extracting structured/unstructured data (PDFs, images, audio, etc.) and optimizing embedding models for semantic search and GenAI applications.
This 12-month machine learning residency involves developing predictive and prescriptive AI models for construction project management. The resident will work with Amii scientists and Nialli to build AI-powered solutions using LLMs, RAG, and agentic systems.
Staff ML Engineer on Okta's Generative AI team, architecting and deploying production LLM/GenAI systems including RAG workflows, agentic applications, and LLMOps pipelines using Python, Claude-based systems, and modern AI agent frameworks.
Senior AI Engineer at RBC building production agentic AI and generative AI systems — including MCP servers, RAG pipelines, and multi-agent workflows — using Python, LLMs, and cloud platforms.
Fullstack AI Engineer building production-grade AI agents and LLM-powered workflows using Python, Django, PostgreSQL, and OpenShift/Docker for RBC's Risk, Audit, and Finance teams.
Design, develop, and deploy production-grade AI agents and LLM-powered workflows using Python, LangChain/LlamaIndex, Django/DRF, PostgreSQL, and Docker within a secure OpenShift environment at RBC.
The Principal Data Engineer will design and implement a scalable data platform using Snowflake and related technologies to support data governance and analytics. The role involves leading data strategy, optimizing ELT pipelines, and enabling AI adoption within an Agile environment.
The Gen AI Engineer designs and implements retrieval-augmented generation (RAG) pipelines for banking clients using the Azure AI stack and Python-based frameworks. The role focuses on building secure, traceable, and accurate AI systems, including prompt orchestration, guardrails, and vector database management.
This GenAI Engineer role focuses on designing and implementing RAG pipelines and agentic AI solutions for banking clients using the Azure AI stack and Python-based frameworks. The position requires building secure, compliant, and traceable AI systems with a strong emphasis on guardrails, vector databases, and model evaluation.
The AI Solutions Architect will lead the design and implementation of end-to-end AI/ML and RAG systems for banking clients, ensuring compliance with regulatory standards. The role involves defining technical architecture across Microsoft Azure and open-source stacks while mentoring a team and establishing engineering guardrails.
Builds full-stack cloud applications (SPAs + backend APIs) for AI-driven analytics, market research, and ad tools, integrating LLM features and optimizing data pipelines.
Builds and deploys AI-powered applications and the infrastructure that runs them, focusing on LLM integration, agentic systems, and automation across cloud and on-premise environments.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Full Stack AI Engineer building AI-native SaaS products — designing and shipping AI-powered features end-to-end with focus on backend/LLM integration, agent pipelines, and RAG workflows using TypeScript, Node.js, React, and PostgreSQL.
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