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Builds and deploys production-grade generative AI systems using LLMs, RAG, and AI agents in Python, integrating with vector databases and cloud AI platforms.
Builds and deploys enterprise-grade generative AI applications end-to-end, combining LLMs, RAG pipelines, and full-stack tech (Python backend + React/Next.js frontend) for scalable, production-ready solutions.
Design and deliver enterprise cloud platforms and AI-enabled workloads for customers, integrating AI tools into engineering workflows while leading cloud migrations and modernization programs.
Koniag IT Systems, LLC a Koniag Government Services company, is seeking an AI Integration Engineer to support KITS and our government customer Washington, DC. The position is hybrid, requires 1 day onsite. This…
Designs and deploys AI/ML solutions on Azure, integrating with business systems like Dynamics 365 and Power BI; focuses on architecture, MLOps, and cross-team collaboration to enhance client advisory services.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
Design and deploy LLM-powered validation pipelines and AI integration solutions within NVIDIA's Silicon Co-Design Group, using Python, static languages (C/C++/Java), and AI/ML frameworks to modernize semiconductor design and automation infrastructure.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
Senior AI/ML Software Engineer on NVIDIA's Enterprise Agentic AI Platform team, designing and deploying LLM-powered agentic applications with RAG and orchestration frameworks to automate workflows across Engineering, Operations, and Manufacturing.
Design, build, and operationalize AI-driven solutions including RAG pipelines, enterprise copilots, and agent-based automation frameworks using LLMs, Snowflake, Power BI/Fabric, and Azure AI platforms for the Analytics & Reporting team.
Design, build, and deploy LLM-powered applications—RAG pipelines, enterprise copilots, and agent-based automation frameworks—using Python, Snowflake, Azure AI Foundry, and LangChain on top of enterprise data platforms at a medical technology company in Atlanta.
Build and manage CI/CD pipelines for ML workflows on Azure/Databricks, develop AI/GenAI agents and machine learning models, and handle model lifecycle management using Docker, Kubernetes, and GenAI frameworks like LangChain.
Design, build, and deploy LLM-powered applications (RAG pipelines, enterprise copilots, agent-based automation) integrated with Snowflake and Power BI/Fabric at Siemens Healthineers, using Python, LangChain, Azure AI Foundry, and Azure OpenAI.
Lead automation strategy and hands-on implementation of workflow automations (n8n), AI agents (Langflow, LangGraph, CrewAI), RPA tools, and AWS-based solutions at a Brazilian payments fintech serving 10M+ users.
This 1-year contract role involves leading enterprise application development and integrating AI capabilities like LLMs, RAG, and AI agents. The engineer will manage the full SDLC, implement DevOps practices, and collaborate with stakeholders to deliver secure, scalable cloud-based solutions.
The Associate Solution Architect will assist in designing end-to-end enterprise solutions, including cloud-based systems and AI-enabled applications. The role involves translating business requirements into technical designs, creating architecture documentation, and collaborating with engineering teams to ensure security and scalability.
Patterson-UTI Drilling Company is seeking a strategic and innovative leader to define, develop, and drive the adoption of AI-powered products and digital solutions that improve drilling performance, operational…
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