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Build and lead AI/ML systems for predictive maintenance and asset intelligence using LLMs, time-series models, and Industrial IoT data to automate workflows and prevent failures across industrial sites.
Senior Python developer builds scalable back-end systems and AI-augmented features using Django/Flask/FastAPI, while integrating LLMs and AI tools into daily workflows.
You will mature Application Security programs (SAST, SCA, DAST) and build a Secure AI Development Lifecycle (ADLC), including AI-assisted threat modeling and LLM security assessments. Core technologies include cloud infrastructure (AWS, Azure, GCP) and scripting languages (Python, Go, JavaScript, Ruby) for security automation.
Design and deploy enterprise-scale Generative AI systems using LLMs, RAG architectures, and Python-based backend services, ensuring security and scalability in production environments.
Build and run cloud-native finance AI services in Java/Python on Azure/AWS/GCP, deploying microservices on Kubernetes and integrating LLM/RAG capabilities.
Lead a team to design, build, and integrate AI capabilities—including GenAI, RAG, and Agentic AI—into a finance-focused platform using cloud-native tools and AI frameworks.
Designs and secures enterprise generative AI systems, integrating LLM apps and AI agents with identity, access, and governance controls across cloud environments.
Designs and secures generative AI systems with identity, access, and governance controls for both human and non-human users, integrating LLM apps and AI agents into enterprise environments.
Technical Resilience FDE Manager As a Manager, AI Engineering (Forward Deployed Engineer) in Deloitte Cyber, you will be embedded in a client's environment to design, build, and ship production-grade AI…
Builds and deploys generative-AI applications for financial clients using Python, LLMs, and Google Cloud services in a hybrid consulting role.
Builds and tests an AI agent that analyzes customer journeys from video and other data to detect pain points and recommend improvements using LLM chains and vector search.
Mitarbeit bei der Entwicklung und Umsetzung der AI- und Digitalisierungsroadmap für Procurement & Supply Chain Analyse bestehender Prozesse und Identifikation geeigneter AI-Anwendungsfälle zur Effizienzsteigerung,…
Middle Python developer building high-load microservices and AI agents for a bank’s conversational financial assistant using FastAPI, LLM integrations, and distributed systems.
Build and deploy ML pipelines for ad-bid optimization that feed directly into programmatic ad-buying platforms, using Python, statistics, and production-grade backend services.
Designs, builds, and deploys enterprise-scale AI and generative AI systems for financial services clients, focusing on LLMs, RAG, and MLOps on cloud platforms.
Designs and tunes LLM-driven agents to detect and respond to cyber threats in a large bank’s SOC, using Python and frameworks like LangChain.
About the Role The AI Engineer is responsible for designing, developing, and integrating AI-powered capabilities into the Titan DMS platform. Working closely with Product, Engineering, UX, and AI team members, this…
Build and optimize the backend infrastructure powering AI agents at Binance, including intent routing, tool orchestration, and evaluation systems for production-scale LLM applications.
Principal AI Engineer About the Role We’re hiring a Principal AI Engineer to lead how we design, build, and productize generative and agentic AI, both inside our SaaS platform and across our products. This is a…
Build and own an AI-driven marketing platform: architect integrations, orchestration pipelines, and UIs that automate end-to-end marketing workflows for CrowdStrike’s teams.
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