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Builds and maintains AI infrastructure for developer tools, focusing on integrating language models into workflows, creating autonomous agents, and optimizing reliability, latency, and cost while mentoring engineers.
Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Build and deploy enterprise AI agents and automation workflows that integrate with internal systems, APIs, and data platforms using Python, LangChain/LangGraph, and cloud infrastructure.
Designs and scales AI platform services for agent orchestration, retrieval, and model serving at Gusto, leading architecture, productionizing AI techniques, and mentoring engineers.
Design and deploy AI-powered solutions using LLMs, RAG, and NLP to build scalable, secure applications and automate business processes.
Build and deploy generative AI and RAG pipelines for an Italian insurer, integrating LLMs with Azure and Microsoft Fabric to automate and enhance business processes.
Build and optimize Python-based backend and AI systems for a fintech startup, applying LLMs and RAG pipelines to financial data to deliver real-time insights for asset owners.
Build and scale an AgentAI platform using LLMs, LangChain/LangGraph, and Python; integrate with enterprise systems while ensuring GDPR and AI Act compliance.
Ready to drive the future? As part of the global Bertrandt Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex…
Build and scale production-ready ML infrastructure for ASR and LLM systems, collaborating with research and MLOps teams to deploy robust AI workflows.
Build and deploy generative AI models (LLMs, multimodal) using Azure Databricks, Hugging Face, and LangChain for content personalization, automation, and semantic analysis.
Build and operate AI platforms, services, and DevOps pipelines for Stadler’s AI Center of Competence, focusing on secure, scalable GenAI deployments in rail mobility.
Builds and maintains a secure, multi-cloud GenAI platform using Node.js/TypeScript, React, and Azure services while integrating AI APIs and prompt engineering.
Build and deploy production-grade generative AI and unstructured-data pipelines, including RAG, embeddings, and LLM-powered APIs, using Python, FastAPI, and cloud MLOps tooling.
Builds full-stack Java/Spring Boot and React/TypeScript apps, integrates Generative AI features, and deploys to Kubernetes while using AI tools like GitHub Copilot.
Build and validate enterprise Generative AI and Agentic AI systems for a major bank, focusing on LLM-based applications, RAG, and AI agents while ensuring regulatory compliance and robust governance.
Build and ship AI systems for property managers: RAG pipelines, multi-step agent workflows, and LLM integrations using TypeScript, Python, and vector databases.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Build and deploy real-time Vision AI and edge-inference systems using PyTorch/TensorFlow, ONNX/TensorRT, and NVIDIA stacks for object detection, video analytics, and multimodal models.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
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