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Lead cybersecurity advisory engagements and shape AI-enabled delivery for clients, bridging executive needs with technical teams while integrating agentic AI, automation, and responsible AI practices.
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.
Develops and integrates AI solutions (generative AI, agents, workflow automation) to optimize EMCOR’s construction/energy infrastructure operations, collaborating with business teams to implement secure, scalable AI tools while ensuring compliance with governance and security standards.
Designs and builds AI/ML-powered cloud-native applications on Microsoft Azure, focusing on retrieval-augmented generation and LLM integration to solve internal business problems while establishing reusable AI/MLOps patterns and security guardrails for cross-functional teams.
About us We’re proud to be Australia's #1 Great Place To Work in Technology, 2026. We have also been named Australia's #1 Great Place to Work 2025 for the second year running! This is in addition to being Great…
Build AI agents that investigate, reason, and act on live observability data in Honeycomb’s Canvas, leveraging a high-cardinality data store to deliver production-grade agentic tools for incident response and system understanding.
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.
About Zania Zania is building AI agents for enterprise governance, risk, and compliance teams to execute complex workflows with full explainability. Series A, $18M raised from NEA, Anthropic, and Menlo Ventures.…
Lead a small engineering POD building Java/Spring Boot microservices and integrating AI features (RAG, embeddings, agents) for a global financial-services firm.
Principal engineer building and scaling cloud platforms, DevEx tooling, and AI-assisted development workflows for JPMorgan Chase’s data and AI initiatives.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Develops AI agents and LLM-based services to enhance trading systems within a bank's Financial Markets division, focusing on RAG pipelines, agent workflows, and financial domain integration.
As a family-run, high-tech company with nearly 19,000 employees at 71 locations worldwide, we are looking for forward thinkers with unconventional ideas and drive to join our team. Our company culture, which values…
Build and automate cloud infrastructure using Terraform and CI/CD pipelines on Azure/AWS, integrating security and AI tools to improve reliability and delivery speed.
Ensure reliability and performance of cloud apps on AWS/Azure, automate ops, and lead incident response using Python, PowerShell, and CI/CD tools.
Build and maintain Salesforce applications using Apex, LWC, and JavaScript, integrating systems via APIs while optimizing for governor limits and performance.
Lead a team building secure, scalable Java/Spring Boot microservices on AWS and Kubernetes, integrating AI tools and automating workflows while mentoring engineers.
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
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