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Build AI-driven test and validation systems for defense hardware and sensors, using Python, LLMs, and anomaly detection to automate root cause analysis and monitor physical systems.
Designs and deploys production-grade generative AI systems on Databricks for enterprise clients, focusing on RAG pipelines, LLM orchestration, and vector search while leading technical delivery.
Design, build, deploy, and support AI-powered systems like intelligent agents and copilots to solve real business problems and scale team capabilities.
Design and build scalable GenAI and AI agent solutions in Python/Java/JavaScript, deploying on GCP to solve complex business problems end-to-end.
Build and deploy AI models under mentorship while learning core ML frameworks and cloud tools in a hands-on training program.
Build and ship AI-powered compliance features for a Latin American instant B2B payments platform, owning end-to-end design, models, and production rollout in a regulated environment.
Build and operate AI-driven Digital Twin systems for electric vehicles, using Python, OpenModelica, and LLM tooling to simulate, test, and validate vehicle controls and infotainment before hardware is available.
Build and maintain internal AI-powered dev tools, knowledge bases, and agents to automate software engineering workflows and boost team productivity.
Build and maintain AI agents and workflow automations using n8n, Claude Code, and APIs; collaborate with stakeholders and document work in GitHub.
Build and evaluate generative AI models, focusing on quality assurance and automated testing for AI systems.
Design and build AI systems that power Zscaler’s Zero Trust Exchange platform, leveraging its massive security data lake to enhance threat detection and data protection.
$150000 - $240000 Job Description A leading fintech AI platform is seeking a Staff AI Engineer to spearhead the development, implementation, and productionization of advanced AI solutions. This role reports directly to…
Lead the redesign of a SuperApp’s Android, iOS, and Java backend using AI agents and LLMs, while coaching a cross-functional team on agentic SDLC and modernizing the platform.
Build AI-powered security defenses and novel AI-native systems for Meta, blending hands-on engineering with adversary research to advance both security and AI capabilities.
Build and deploy production-grade generative AI systems with Google Cloud partners, transitioning prototypes into scalable agentic workflows using Python, RAG, and Vertex AI.
Build and deploy AI-powered agents and workflows using LLMs, RAG, and agentic frameworks to modernize enterprise software and drive scalable AI solutions.
Build and maintain AI agent toolkits that let models take real actions in enterprise systems, ensuring reliability, security, and governance for Fortune 100 deployments.
Build and ship AI-powered travel search and recommendation features end-to-end using Go, Claude Code, and modern infra; own specs, code, tests, and customer fixes.
Investigate cyber threats like scams and human trafficking, automate processes, and build tools to disrupt malicious actors across Meta’s apps.
Senior AI Engineer building and deploying secure, production-grade AI systems for intelligence operations, including classified environments.
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