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Build and own LLM-powered agentic systems that automate healthcare navigation tasks for Medicare beneficiaries, integrating retrieval, evaluation, and production monitoring.
Principal AI Engineer About the Role We’re hiring a Principal AI Engineer to lead how we design, build, and productize generative and agentic AI, both inside our SaaS platform and across our products. This is a…
Build and own an AI-driven marketing platform: architect integrations, orchestration pipelines, and UIs that automate end-to-end marketing workflows for CrowdStrike’s teams.
Lead AI Engineer builds and deploys agentic AI systems for go-to-market workflows using Salesforce, Slack, and LLM frameworks like LangChain, driving automation and efficiency in cybersecurity sales operations.
Build AI agents that autonomously research vulnerabilities, generate patches, and deploy fixes via CI/CD to create a self-healing security infrastructure.
Build and deploy GenAI applications using Python, LLM frameworks, and vector databases, then optimize and integrate them into cloud-based microservices.
Analyze sales and renewals data using SQL, Snowflake, and visualization tools to build dashboards and reports that drive strategic decisions at Cisco.
Build and deploy scalable AI/ML systems, including LLM-powered RAG pipelines and agentic workflows, from experimentation to production while optimizing for performance and cost.
Builds and maintains scalable GCP data pipelines and cloud-native solutions for enterprise analytics and AI, using BigQuery, Dataflow, and Python.
Designs and migrates enterprise-grade databases (SQL, NoSQL, graph, vector) across Azure and on-premises, ensuring scalability, security, and performance for an energy company.
Lead the design and deployment of AI agents that automate investment research, portfolio management, and trading workflows using cloud-native tools and agent frameworks.
Lead the design, build, and configuration of AI-driven applications using Microsoft Azure OpenAI Service and related Azure AI tools, while managing project timelines and cross-functional teams.
Build and deploy AI models for creative asset generation and analysis using LLMs, multi-modal AI, and RAG systems in a media/advertising agency.
Builds and maintains financial ERP software, integrating AI tools like LLMs and RAG pipelines, while leading development teams and advising on best practices.
Build and ship full-stack software for a venture studio and investment platform, working directly with business stakeholders to solve real operational problems using modern web and AI tools.
Lead a team to design and deploy analytics, optimization, and AI models that power decision-making across operations, using Python, SQL, Tableau, and cloud services like AWS.
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Builds and maintains Python-based backend services and GenAI-powered features, integrating LLMs, vector databases, and AI APIs into production systems.
Designs and maintains AI systems for a game studio, focusing on RAG platforms, AI-driven game content, and agent frameworks to enhance player immersion and game logic.
Designs and evaluates large language models (LLMs) and generative AI solutions, assessing technical feasibility, scalability, and integration risks for enterprise use cases.
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