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Optimize and support large-scale AI workloads on a national supercomputer, profiling models and advising researchers in multimodal AI, healthcare, and AI for Science.
Build and own AI systems for healthcare, including ambient scribe, billing agents, and clinical decision support. Focus on evaluation, agentic workflows, and production-grade reliability.
Build and maintain generative AI infrastructure, including vector databases and LLM gateways, to make AI tools accessible across the firm.
Senior AI Engineer designing, building, and deploying production ML/AI systems end-to-end—including data pipelines, RAG pipelines, agentic systems, and training workflows—using Python, AWS, Docker, and Kubernetes.
The Manager, AI Engineer leads a team in developing scalable Gen AI solutions, including LLM pipelines and RAG architectures, using Python, React, and AWS. This role involves hands-on technical leadership, mentoring engineers, and driving the organization's AI roadmap.
The Senior AI Engineer will design and implement AI-powered contact center solutions using Amazon Connect, Amazon Bedrock, and LLMs. This onsite role involves developing conversational AI agents, integrating cloud services, and optimizing prompt engineering for enterprise applications.
Build and deploy AI/ML models in Python using TensorFlow/PyTorch to power business products, integrating them via cloud platforms and MLOps pipelines.
The Generative AI Expert will lead the AI strategy and development for a large-scale corporate services organization in Dhahran, Saudi Arabia. The role involves designing and deploying generative AI and LLM-based solutions to improve business performance across diverse departments.
This role involves designing and implementing AI-driven automation workflows, chatbots, and virtual agents using platforms like N8n, Make.com, and Zapier. Engineers will integrate LLMs and APIs to optimize business operations across various industries in a fully remote capacity.
The Senior Engineer will design and build scalable APIs and SDKs for Generative AI models within a financial services environment. The role focuses on optimizing training and inference pipelines, implementing AI safety guardrails, and ensuring high-performance data-intensive system architecture.
The Junior AI Engineer will design and develop AI-powered tools, dashboards, and automation workflows using LLMs, RAG, and AI agents. The role involves full-stack development using technologies like Python, React, and Node.js to support internal applications and digital governance initiatives.
The AI Engineer will design and implement AI solutions, specifically focusing on RAG pipelines, document processing, and data transformation for an EDMS platform. The role involves developing and optimizing AI models, integrating them with data pipelines, and collaborating with cross-functional teams to deliver scalable features.
Design, develop, and deploy AI agents, LLM-powered applications, RAG pipelines, NLP systems, and Voice AI integrations primarily using Python and LLM APIs.
Designs, tests, and optimizes AI prompts for business applications using specialized tools like Promptmetheus and MCP, while automating workflows with n8n and monitoring performance with Lovable Tools.
Senior Full Stack AI Engineer designing and deploying LLM-powered AI agents (Claude, OpenAI GPT), building full-stack SaaS features with Python/Node.js backends and React/Next.js frontends, integrating review/reputation platforms, and owning architecture and DevOps.
Builds and optimizes AI-driven voice and chat agents for customer interactions, focusing on intent classification, dialogue flows, and response generation while collaborating with QA and product teams.
The AI Engineer will research emerging technologies and build Proof of Concepts (PoCs) to optimize maritime and logistics operations using AI, machine learning, and generative AI models. The role involves collaborating on digital transformation initiatives and maintaining technical documentation for innovative solutions.
Lead a data and AI team, designing scalable data pipelines, driving generative AI strategy, and delivering insights via dashboards using Python, SQL, AWS, Airflow, Power BI, and MySQL.
The Applied AI Engineer will design, develop, and deploy AI-powered features, focusing on LLM integration, prompt engineering, and AI agent workflows. The role involves optimizing system performance and building evaluation frameworks to ensure reliable production-grade AI solutions.
Bachelors degree in computer science, Engineering, Mathematics, or a related field. 5+ years of experience in AI, machine learning, or related fields. Proven track record of deploying machine learning models in…
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