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Design and deploy AI solutions like RAG systems and assistants, integrating them into enterprise workflows and owning projects end-to-end.
Builds and deploys AI workflows in n8n on Linux servers, writes Python when needed, and integrates APIs for corporate automation; documents solutions in German and English.
Lead the engineering of MLOps platforms at a company building AI-native scientific data sets and lab data management solutions for the Scientific AI revolution.
Build and own the AI agent stack for a manufacturing-data platform, designing agent workflows, memory systems, sandboxed execution, and observability with Python/TypeScript.
Lead the architecture of AI-powered data infrastructure for fraud and safety systems, building vector databases, multi-agent orchestration, and proactive guardrails to protect Grab’s platform at scale.
Build the software that automates a biology lab, turning scientific intent into executed experiments and structured, AI-ready data with full provenance.
Design and deploy production AI agents that combine frontier models, retrieval, and structured knowledge to automate complex workflows for enterprise customers across industries like finance and healthcare.
Build and deploy production AI agents that automate workflows, reason over enterprise data, and integrate with customer systems using LLMs, retrieval, and traditional ML.
Build and deploy production AI agents that combine frontier models with enterprise data and software, designing reasoning systems, retrieval pipelines, and multi-agent workflows for Fortune 100 clients.
Build and maintain internal AI infrastructure connecting LLMs, agents, and ML systems with company data, tools, and workflows to support autonomy and defense applications.
Build and lead payment-processing systems using Java, microservices, and Angular, while integrating AI models and ensuring secure, scalable deployments.
Lead engineer modernizing C#/.NET and PowerShell branch-automation platforms at JPMorganChase, integrating AI tools and driving adoption of agentic patterns.
Builds and maintains scalable Java/.NET backend systems, REST APIs, and cloud-native services while integrating AI/Generative AI tools to improve business processes and system reliability.
Build and deploy AI-agent systems for enterprise clients, owning the full lifecycle from discovery to production using Python, FastAPI, and agent frameworks like Strands.
Intern in Intel’s Vietnam module engineering team, building AI/ML models, robotics, or mechatronics systems to optimize semiconductor assembly and test processes.
Line of Service Advisory Industry/Sector Not Applicable Specialism Deals Management Level Senior Associate Job Description & Summary At PwC, our people in deals focus on providing strategic advice and support to…
Mid-level engineer building and operating Amazon EKS clusters, Helm charts, and Terraform modules for a Tier 1 financial firm’s container platform, with on-call and cost-efficiency responsibilities.
Where Ambition Meets Innovation At LPL’s Global Capability Center , you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills,…
Build and deploy enterprise-scale AI systems (RAG, agentic workflows, LLMs) to automate workflows and improve resilience for a global financial markets infrastructure provider.
Design and implement enterprise-grade AI architectures, including multi-agent systems, RAG pipelines, and model routing, while enforcing security, governance, and cost controls for large-scale deployments.
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