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This role involves designing and building multi-agent AI systems and the supporting infrastructure for a med-tech company. The engineer will work with LLMs, the MCP protocol, and cloud infrastructure including EKS and Terraform while utilizing Java and React.
Lead enterprise-scale GenAI implementations for Fortune 500 clients, designing and building production-grade LLM, RAG, and agent-based systems using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain.
About the Role: The team: Our Engineering team develops and maintains modern, cloud-based applications and AI-powered solutions that support global business operations. Team members collaborate across Product,…
Senior Software Engineer building and scaling AI-powered recruiting products at Senseloaf, working with Python, FastAPI, AWS, Docker, Kubernetes, MongoDB, and vector databases in a hybrid role in Bangalore.
Hands-on AI Architect designing and deploying production-grade Generative AI systems (LLMs, RAG pipelines, chatbots) on AWS for enterprise clients, working onsite 3 days/week in Raleigh.
Leads AI/ML projects from ideation to production, specializing in LLM/Agentic AI development, cloud-based model deployment, and MLOps best practices for fintech applications.
Builds and deploys AI/ML models and LLM applications, focusing on prompt optimization, sandbox experimentation, and cloud-based pipelines for a core-AI product company.
Lead AI Engineer architecting and delivering end-to-end AI solutions—classical ML, deep learning, LLMs, multimodal systems, and MLOps—while mentoring a team of AI/ML engineers, based in Pune.
Design and implement AI systems, including NLP, computer vision, or generative models, using Python and frameworks like TensorFlow/PyTorch.
Build and own production AI systems (voice agents, RAG pipelines, LLM orchestration) while mentoring engineers and advising C-level clients in a hybrid San Diego role.
All Gravy is seeking a Senior AI Engineer to build and deploy production-grade AI agents that automate tasks for hospitality and retail frontline workers. The role involves full-stack development using TypeScript and Node.js to create agent harnesses, manage evaluation loops, and maintain system reliability.
The Opportunity Reporting to the Manager, Enterprise Fraud, the Senior Data Specialist, is a core member of the Enterprise Fraud Analytics team. This role focuses on designing, training, and evaluating advanced machine…
Develops AI agents and automation tools for electronic design workflows, integrating LLMs, simulation engines, and EDA software using Python and modern AI/ML techniques.
Build production agentic AI systems for financial workflows using LLMs, orchestration, and RAG pipelines in Python/Go/TypeScript on AWS/GCP.
Builds end-to-end data, analytics, and AI/ML solutions (e.g., models, dashboards, pipelines) to drive business outcomes at JPMorgan Chase, using tools like AWS, Snowflake, and LLMs while ensuring governance, privacy, and compliance.
Build and maintain B2B websites with AI-powered features, integrating marketing tools and APIs using modern web tech like React/Next.js and WordPress.
Build AI/ML systems that design better clinical trials using GenAI, agentic frameworks, and scientific datasets to cut costs and speed up drug development.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
About this role At BlackRock, technology is the foundation of our business. As a VP, Application Engineer, you’ll lead by example — architecting, coding, and mentoring teams to build resilient systems that power our…
Lead the enterprise AI architecture strategy for a global fintech firm, defining standards for generative AI, LLMs, and agentic systems while ensuring compliance and security in a regulated financial environment.
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