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About the Role: The team: Our Engineering team develops and maintains modern, cloud-based applications and AI-powered solutions that support global business operations. Team members collaborate across Product,…
Hands-on AI Architect designing and deploying production-grade Generative AI systems (LLMs, RAG pipelines, chatbots) on AWS for enterprise clients, working onsite 3 days/week in Raleigh.
Builds and deploys AI/ML applications using Snowflake Cortex, LLM APIs, and Python frameworks to integrate GenAI into enterprise data ecosystems, focusing on vector search, agentic workflows, and real-time analytics.
Senior AI Engineer building conversational AI systems, chatbots, and LLM applications using Python, LangChain/LangGraph/LlamaIndex, and cloud platforms like AWS and Azure.
Remote GenAI Developer building applications with LLMs/foundation models for content creation, transformation, and analysis—chatbots, content generators, summarizers, and semantic search—using Python, SQL, and deep learning.
Build and own production AI systems (voice agents, RAG pipelines, LLM orchestration) while mentoring engineers and advising C-level clients in a hybrid San Diego role.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Senior Software Engineer building AML transaction monitoring and batch data pipelines using Scala, Spark, Kafka, and cloud platforms (Azure/AWS/GCP) to support financial crime prevention at a large bank.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
The Quantexa Systems Analyst will manage business requirements and design solutions for banking systems, with a specific focus on integrating Agentic AI and GenAI architectures. The role involves collaborating with stakeholders and technical teams to implement LLM-based solutions using Python and modern AI frameworks.
The Platform Engineer III will build and maintain AI infrastructure on Google Kubernetes Engine (GKE) to support Generative AI applications. The role involves implementing CI/CD, GitOps, and observability standards while collaborating with data science teams to optimize LLM serving and cloud-native tooling.
Backend C# engineer building scalable embedded payments platform services for ISVs using .NET, PostgreSQL, Redis, and Kafka on a distributed microservices architecture.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
Build AI-driven agents to autonomously detect, diagnose, and remediate issues across CrowdStrike’s large-scale distributed infrastructure, integrating with monitoring and telemetry stacks.
The Associate Director of Data Analytics will design and deliver advanced marketing analytics, measurement, and reporting solutions using SQL, Python, and cloud platforms. This role involves leading complex analytical projects, implementing AI-driven automation, and mentoring a team to provide actionable insights for clients.
Design and deploy AI-native software products that transform geospatial data into actionable intelligence, using LLMs, multi-agent orchestration frameworks (LangChain, LangGraph, Google ADK), and cloud infrastructure on GCP/AWS.
This role involves leading the development of scalable advertising platform systems using Java, GCP, and advanced AI-augmented workflows. The engineer will own the full SDLC, integrate LLM-based solutions, and mentor team members to drive technical excellence.
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