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Build and deploy production-grade agentic AI systems for enterprise clients, including multi-agent orchestration, RAG pipelines, and LLMOps tooling.
Lead a team building production-grade generative AI systems (RAG, agents, LLM APIs) for enterprise platforms, using Python, FastAPI, LangChain, and cloud AI services.
Lead the design and standardization of AI/ML agent systems, memory architectures, and RAG pipelines for financial document processing, setting engineering best practices across teams.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Designs and deploys autonomous AI agent workflows for enterprise use, integrating LLMs, orchestration frameworks, and cloud services to automate multi-step tasks in a life-sciences company.
Designs and builds cloud-native generative AI applications using LLMs, orchestration, and cloud services while collaborating with data scientists and platform engineers.
Senior AI Engineer builds and runs secure, scalable generative-AI systems on AWS using Python/.NET, integrating them with enterprise apps and data while leading the full engineering lifecycle.
Develop AI/ML-powered mobile and web apps for a global media giant, integrating models for personalized content, search, and dynamic experiences while collaborating with cross-functional teams.
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
Senior engineer building and operating a provider-agnostic GenAI platform with guardrails, retrieval, agentic infrastructure, and observability for internal teams at a large investment management company.
Build and deploy AI solutions (copilots, agents, RAG apps) on Azure OpenAI and related platforms, partnering with business teams to solve real problems end-to-end in a regulated healthcare setting.
Builds and maintains data pipelines and analytics platforms using Databricks, AWS, and Python to support AI/ML and business intelligence at a major property-casualty insurer.
Lead the design and delivery of enterprise-scale AI platforms, agentic systems, and GenAI solutions, mentoring engineers and shaping technical strategy for a global tech organization.
Build and optimize ecommerce sites, booking platforms, and AI agents using Python, JavaScript, and OpenAI APIs to automate workflows and boost conversions.
Build and deploy AI-powered workflows and agents for a fast-growing e-commerce group, integrating LLMs like OpenAI and Anthropic with existing systems to automate workflows and improve efficiency.
Senior AI engineer builds and deploys production-grade AI systems—LLM integrations, RAG pipelines, agentic workflows, and MLOps—using Python, cloud platforms, and AI orchestration frameworks for an insurance company.
Senior security engineer designs and implements identity, detection, and automation controls to protect a $178B pension fund’s hybrid cloud and on-prem environments while partnering with engineering teams.
Build and deploy generative-AI applications using Large Language Models (LLMs) on Azure OpenAI, integrating frameworks like LangChain and LlamaIndex to create scalable NLP solutions for data-driven decision making.
Lead the design and deployment of cloud-native AI platforms, AIOps, and semantic tooling using GCP, Azure, and generative AI frameworks like Google Gemini Enterprise.
Senior Software Engineer at Visa building AI-driven reliability solutions for global payment systems using LLMs and deep learning at massive scale.
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