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Build and enforce production-grade GenAI features for a fintech revenue automation platform, ensuring reliability, cost control, and safety in billing and revenue workflows.
Join EGYM as our AI Integration Engineer (m/f/d) in Munich or Berlin! In this pivotal role, you build the practical backbone of AI adoption at EGYM, turning high-impact use cases into secure, reliable, and…
Build and deploy production-grade generative AI systems using LLMs, RAG pipelines, and agentic architectures on AWS Bedrock and other platforms to deliver enterprise AI solutions.
Lead the design and implementation of production-grade agentic AI systems and AI-augmented software workflows using Python, LangGraph/LangChain, and tools like Claude Code.
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Builds scalable microservices and agentic workflows using Python, integrating LLMs and RAG pipelines into production systems while ensuring AI reliability and engineering quality.
Design and build AI solutions, agents, and LLM-based apps for enterprise financial services, integrating with systems and APIs.
Build and deploy production-grade agentic AI systems for regulated enterprises like banks and insurers, integrating multi-agent orchestration, RAG pipelines, and MCP servers on AWS.
Build and maintain AI agents for image-processing systems using Python, FastAPI, and Azure, with Apache Airflow orchestration and Docker deployment.
Develops and deploys advanced AI/NLP models (LLMs, RAG, agentic architectures) to detect financial crimes like money laundering or insider trading, while mentoring junior data scientists and collaborating with compliance teams.
Builds ML, graph, NLP, and GenAI models to detect threats, prioritize risks, and enrich cybersecurity operations using Python, SQL, PySpark, and Databricks.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Build and deploy autonomous agentic AI systems using RAG pipelines, vector databases, and multi-agent architectures on GCP to automate workflows and replace manual processes.
Designs and builds enterprise-grade Agentic AI and automation solutions using LLMs, CrewAI, and UiPath to automate workflows across Pearson’s education products.
Lead a team building AI-powered cloud systems at JPMorganChase, integrating LLMs, RAG pipelines, and agentic workflows while leveraging AI coding assistants daily.
Build and maintain the AI/ML infrastructure for Stanford Health Care, deploying scalable Kubernetes clusters, CI/CD pipelines, and observability tools to run autonomous agent systems and healthcare AI models.
POSITION SUMMARY We are seeking an experienced Senior AI Engineer to design, develop, and deploy next-generation AI-powered products and intelligent systems. This role will play a critical part in shaping the…
Program Manager to lead large-scale enterprise tech programs at Apple, overseeing global systems for security, supply chain, and product launches while leveraging AI tools for planning and decision-making.
Exploring career opportunity? Sysgen RPO is hiring Senior Agentic AI Engineer! About the job: Direct hire with client from IT Services and Consulting industry Full-time and permanent role Remote work Work schedule:…
Senior AI Engineer builds and deploys multi-agent AI systems for ad targeting, user segmentation, and real-time bidding on GCP, using LangGraph/AutoGen and prompt engineering to drive measurable marketing outcomes.
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