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Build production-grade GenAI systems using Azure OpenAI APIs, Assistants API, and Codex to prototype voice workflows and demo libraries for claims automation, compliance, and developer productivity.
Build and lead AI/ML systems on Google Cloud, including LLM apps with Gemini, scalable pipelines with Databricks, and DevOps practices for UPS logistics tech.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Build and deploy AI solutions for national programmes, mentor apprentices, and lead end-to-end ML projects using LLMs, MLOps, and cloud platforms.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Build and deploy AI solutions (generative AI, RAG, agentic workflows) for MUFG’s Global Markets, embedding responsible AI into regulated workflows while ensuring compliance with governance and control standards.
Build and deploy AI-powered applications and data pipelines under mentorship, working with cloud platforms, Python, and modern AI frameworks to solve business challenges.
Builds agent-based AI software using foundation models and modern engineering practices to create intelligent, autonomous systems.
Own end-to-end AI products from discovery to production, shipping scalable systems that turn Mercer’s expertise into client-facing tools while balancing speed and quality.
Build and optimize AI applications using LLMs, RAG, and agent frameworks on a central AI platform, integrating them into production for logistics use cases.
Build and ship full-stack features in C#/.NET and modern JavaScript, integrating AI tooling into established business-critical SaaS products.
Full-stack engineer building React front ends and C#/.NET APIs with SQL Server/Postgres, integrating LLMs into live products like garage management and rental systems.
Build and deploy Generative AI applications using Python, React, and AWS for a large financial services firm in London.
Build and deploy AI-powered features for an automotive finance SaaS platform, integrating LLMs and cloud AI services into production applications.
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Research and develop multilingual large language models from scratch, including data curation, model architecture, and distributed training on GPU clusters.
Build and deploy enterprise AI solutions like LLM-powered agents and RAG systems to automate workflows and improve productivity in a renewable-energy company.
Principal AI Software Engineer at Northrop Grumman builds and deploys large language models, NLP/NLU systems, and AI-driven decision tools for defense applications using PyTorch, TensorFlow, and cloud platforms.
Develop and deploy AI/ML models (LLMs, NLP, computer vision) for defense systems, focusing on explainable AI and sensor/data fusion, using frameworks like PyTorch and TensorFlow.
Build and deploy AI agents and copilots that automate construction workflows, integrating predictive models and generative AI into tools used by project managers and superintendents.
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