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Designs and delivers enterprise-scale AI platforms for a major bank, focusing on cloud-native GCP solutions, MLOps/LLMOps, and secure generative AI deployments.
Build and deploy fraud-detection models and GenAI/LLM solutions using Python, Spark, and cloud platforms to protect credit data and financial transactions.
Senior engineer building and operating production-grade generative AI systems (RAG, agents, copilots) for a large investment firm, integrating with enterprise data and MLOps tooling.
Lead a team building and deploying production-grade AI systems—like copilots and agentic workflows—while coding end-to-end solutions that integrate with enterprise data and meet regulatory requirements in a large financial firm.
Senior engineer building and maintaining the retrieval pipeline for a legal-tech AI product, combining semantic and keyword search, reranking, and agentic loops to ensure accurate citations in professional advice.
Design and run automated tests for AI/ML apps, LLM-powered tools, and chatbots using Playwright, REST Assured, and Python; validate AI outputs for accuracy, bias, and safety.
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
You’ll act as Kyndryl’s on-site AI advisor in South Florida, guiding a major client’s AI transformation by designing enterprise AI strategies and integrating third-party AI tools into their systems.
Designs and leads Industrial AI solutions that integrate voice AI, digital twins, and edge computing to connect frontline workers and factory operations with enterprise systems.
Build and modernize a cloud-native .NET accounting platform using C#, ASP.NET Core, and Azure, integrating AI features and event-driven architecture.
Build and deploy cutting-edge AI systems for Marsh’s AI Center of Excellence, turning experimental LLM tools into production-ready solutions and coaching teams on adoption.
Build production-grade full-stack software that integrates with agentic AI systems and LLM APIs, using AI coding assistants daily to accelerate delivery and quality.
Embed with enterprise clients to deploy and scale AI platforms (e.g., Anthropic, OpenAI, Microsoft) and agentic solutions, ensuring reliability, adoption, and end-to-end production outcomes.
Advise early-stage founders on pragmatic cloud architectures and GenAI solutions, helping them scale without technical debt while navigating compliance and cost constraints.
Are you passionate about startups? Do you get excited about helping founders solve hard technical problems at the earliest and most critical stages of building their company? We're looking for a Solutions Architect…
Design and deploy AI systems for life-science research using LLMs, agentic workflows, and NLP to transform complex biological data into actionable insights.
Job Description It’s about process, progress, and people. Are you someone that loves to create new systems? Do you have a knack for moving things forward? Do you like collaborating with people to accomplish big…
Designs and maintains Azure cloud infrastructure, CI/CD pipelines, and AI agents to automate title/escrow operations and improve developer productivity.
Designs and builds AI-driven applications and systems using generative AI, deep learning, and cloud/on-prem pipelines, ensuring production-ready, scalable solutions.
Lead a team to build and govern trustworthy AI systems at scale, defining quality standards, evaluation platforms, and governance controls for generative AI and agentic products.
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