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Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
Build and architect AI-powered integration and migration tools for a global bank, using LLMs, agents, RAG, and cloud services to modernize legacy systems and scale reusable components.
Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Build and deploy LLM-based generative AI systems to extract insights from unstructured healthcare data, improving strategy, efficiency, and customer experience.
Build and ship production-grade AI agents using C#/.NET, React, and Azure OpenAI, spanning UI, orchestration, and evaluations.
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic AI systems while translating business needs into technical solutions.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Senior Software Engineer at Compass in NYC builds AI-driven automation pipelines and integrations for real estate operations, using LLMs, RAG, and cloud-native tools to streamline workflows across departments.
Senior Software Engineer at Compass designs and builds automated lead nurturing systems for real estate agents using AWS, Go, Java, and Kafka to convert leads before CRM handoff.
Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
The Forward Deployed Engineer (FDE) is a hands-on AI professional who combines strong technical expertise with consulting and business partnering skills. Embedded within functions such as Operations, Finance, Sales,…
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Designs and builds autonomous AI agents with multi-step reasoning using LLMs (e.g., AutoGen, Microsoft Agent Framework) while owning microservices development, testing, and deployment in containerized environments.
Build and deploy autonomous AI agents using LLMs and agentic frameworks (AutoGen) while developing scalable Python microservices with FastAPI and Kubernetes.
Build and optimize multi-agent LLM systems, RAG pipelines, and large-scale NLP models to transform enterprise processes with rapid prototyping and production deployment.
Build and run an enterprise AI platform integrating multiple LLM providers, deploy autonomous agents for business workflows, and implement RAG systems with safety and governance controls.
Build and deploy production-grade AI solutions for enterprise clients using LLMs, RAG, and agent frameworks, owning the full lifecycle from discovery to optimization.
Build and deploy AI-powered agents that integrate with Microsoft ecosystems (Teams, Dynamics 365, Graph) using C#/.NET, Azure OpenAI, and MCP servers to solve enterprise customer-service automation challenges.
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