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Design AI and GenAI architectures for banking clients, moving solutions from proof of concept to secure production deployment using LLMs, RAG, and Agentic AI.
Build and maintain AI-powered applications for commercial real estate using LLMs, RAG, and Azure AI to process financial and property documents into actionable insights.
Build automation and internal tools for Qdrant Cloud’s Kubernetes-based infrastructure using Go and Python, focusing on cluster provisioning, lifecycle management, and reducing operational toil.
Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
Build and deploy production-grade generative AI systems using Python, LLMs, RAG pipelines, and AWS services like SageMaker and Bedrock.
Build and deploy an AI platform for federal agencies; integrate GenAI features, write full-stack code, and embed with customers for 60-180 days.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Principal AI-Native Software Engineer builds and deploys AI-powered applications using LLMs, agentic workflows, and RAG, partnering with business leaders to deliver production-ready solutions in Python.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Build and lead the RackAI platform using Go and Kubernetes, designing scalable cloud-native services and embedding AI-driven development tools to set engineering standards.
Design and deploy AI-powered copilots and agentic solutions using Microsoft’s AI stack (Copilot Studio, Azure AI Foundry) and Python, integrating LLMs and RAG for enterprise clients.
Build and maintain AI-powered document ingestion, retrieval, and knowledge pipelines in Python for Guidewire’s cloud platform serving P&C insurers.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Lead a team to design and deliver production-grade AI solutions using machine learning, generative AI, and agentic AI for clients in government, healthcare, and defense.
Lead a team building full-stack legal applications in .NET, React/Next.js, and Azure, integrating AI features like RAG and agentic workflows while setting engineering standards and mentoring engineers.
Build and deploy AI-driven cybersecurity models and microservices using Python, LLMs, and MLOps to analyze security data, detect threats, and automate compliance for a SaaS platform.
Build and maintain high-volume data pipelines between Snowflake and Databricks using PySpark and dbt, then deploy ML models on OpenShift with MLOps tooling like MLflow and Airflow.
As an AI Engineering Manager at Solstice, you will play a pivotal role in driving AI initiatives across various business functions using multiple technology platforms. You will translate cutting-edge AI &…
Staff Software Engineer Location: Chicago, IL, San Francisco, CA, Boston, MA Remote Type: Remote Time Type: Full time Job Description JLL empowers you to shape a brighter way . Our people at JLL are shaping the future…
Senior AI Platform Engineer Location: Israel, Yokneam Time Type: Full time Job Description The NVIDIA Networking Advanced Development Software group builds groundbreaking technologies that open new markets and deepen…
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