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Lead the design and implementation of enterprise-scale generative AI solutions using LLMs and prompt engineering, while mentoring teams and ensuring secure, compliant deployments.
Build and deploy generative AI solutions using LLMs, RAG, and AI platforms on Kubernetes and Terraform for enterprise clients.
Senior AI Engineer builds and maintains AI-driven microservices, RESTful APIs, and event-driven architectures while optimizing database queries and distributed task orchestration.
Senior AI engineer building RESTful microservices and event-driven systems with Kafka, applying AI coding tools and maintaining scalable, high-performance code in an agile team.
Build production-ready AI apps for enterprises using LLMs, RAG, AI agents and workflow automation, integrating them into existing systems.
Are you passionate about Artificial Intelligence, GenerativeAI and Agentic AI? Do you enjoy helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us! At…
Build and scale IQVIA’s Orion GenAI platform, designing architectures for transformer models, RAG, and AI agents while shielding teams from low-level complexity.
Build and scale IQVIA’s Orion GenAI platform, designing robust architectures for transformer models, RAG, and AI agents while abstracting complexity for application teams.
Build and deploy agentic and generative AI systems for banking workflows, integrating LLMs and AI coding tools into production-grade applications.
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Build and deploy generative AI, LLM-powered, and agentic AI systems for federal clients, using TypeScript/Python and cloud-native tooling to deliver secure, scalable solutions.
Design and build a multi-agent GenAI reasoning layer for a secure HUD resource center using AWS Bedrock, Lambda, and RAG for voice/chat interactions.
Owns end-to-end AI/ML systems for LinkedIn’s recommender/classification platforms, designing models, optimizing GPU fleets, and driving production impact at scale with Python/Java and frameworks like PyTorch.
Senior AI engineer at PNC building and maintaining machine-learning models and systems to enhance financial services and customer experiences.
Build and deploy full-stack AI applications using OpenAI's ecosystem, from conversational apps to agentic systems, end-to-end in TypeScript/React and Python/Node, with RAG pipelines and enterprise integrations.
Senior consultant designs and implements Salesforce AI solutions, integrating Generative AI and advanced analytics to enhance customer experiences and drive growth.
Own AI use cases end-to-end for J.P. Morgan, from discovery to delivery, building production-grade LLM-powered agents to solve banking productivity challenges at scale.
Build and maintain SAS’s generative AI platform and tools, integrating models into enterprise workflows with a focus on scalability and reliability.
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.
Senior engineer building scalable frontend and backend systems for WHOOP’s AI-powered health and fitness platform, collaborating with product and data teams.
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