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Builds AI-driven automation workflows using GenAI/Agentic tech to streamline fintech processes like onboarding, transactions, and reporting; integrates LLMs and RAG for context-aware decision support.
The AI Solutions Architect will bridge business strategy and enterprise architecture by designing and implementing GenAI and LLM-based solutions. This senior role involves executive stakeholder management and the continuous evaluation of emerging AI technologies.
Pre-sales Solutions Architect helping enterprise customers in Australia integrate Claude into their technology stacks—covering technical discovery, architecture design, eval frameworks, and deployment guidance across the Claude API and Claude for Work.
The AI Engineer will design, implement, and deploy LLM-based solutions into production to improve infrastructure and building design. The role involves end-to-end development of ML solutions, including data preparation, semantic extraction, and integration into a SaaS platform using Python and modern AI techniques.
Designs and builds scalable, secure AI/ML platforms for healthcare, focusing on agentic systems, RAG pipelines, and multi-modal AI applications with guardrails and observability. Leads architectural standards, cloud-native infrastructure (Azure/AWS), and AI governance for enterprise-grade solutions.
Designs and implements AI-native software solutions, orchestrating autonomous AI agents and optimizing workflows in Azure for enterprise-grade production systems. Bridges business needs with technical AI-driven implementations.
Build and optimize AI coding agents that automate software tasks, integrate with dev toolchains, and improve reliability and cost efficiency in an energy-trading software team.
Design and optimize agentic AI systems for healthcare workflows, focusing on retrieval, context, memory, and evaluation to ensure safe, transparent, and scalable performance.
📍 Location: Remote 🤝 Engagement: Full-time, long-term project for an international product client 💬 English: B2+ 🎯 Level: Senior About the Opportunity We are looking for a Senior Web Scraping / Data Collection…
JOB DESCRIPTION 1. GenAI Engineering & Technical Execution Lead the design and implementation of production-ready GenAI solutions, internal AI tools, agents, integrations, and reusable capabilities. Remain hands-on…
Build and ship production-ready AI coding agents and agentic workflows for JetBrains' developer tools, integrating models like Mellum2 and open-weight models into real development environments.
Develops and deploys LLM-driven agentic systems to accelerate drug discovery workflows, integrating data from LIMS/ELN, structural biology, assays, and DMPK to automate multi-step scientific tasks and improve decision-making for project teams.
Builds and optimizes AI-driven backend systems for a modern travel agency platform, focusing on LLM-powered tools, agent orchestration, and performance-critical infrastructure using Python and Django.
Senior AI Engineer builds reusable AI components, leads architecture for AI initiatives, and solves LLM/agent problems while mentoring engineers and setting coding standards.
Build and maintain AI-driven autonomous agent systems, optimize workflows, and ensure enterprise-grade security and quality in a hybrid role.
AI Engineer Intern at Softobiz to assist in developing and deploying AI/ML models and solutions.
Build and deploy AI agents to automate physical engineering workflows (e.g., CAD, design specs) for infrastructure projects, accelerating tasks like data-center and energy-installation planning from weeks to hours. Own end-to-end features, from data ingestion to trusted outputs, while collaborating with domain experts.
Build and support production-grade AI applications for the Chase Mobile App using Java, Python, Agentic AI, LLMs, and multi-agent frameworks.
RESPONSIBILITIES: Kforce has a client in Draper, UT that is seeking a senior-level AI Engineer to help build and accelerate AI-driven solutions. The ideal candidate is a hands-on engineer who uses modern AI development…
Role As our Agentic AI Engineer, you will build the intelligence layer that sits on top of our knowledge graph: the part of APAS that turns structured regulatory and operational data into deterministic, citation-backed…
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