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Build and prototype AI agent features for enterprise customer support, working with LLMs, voice AI, and modern AI tools as part of a small founding team.
This role involves building and maintaining analytics-ready data models and applied AI solutions using GCP, BigQuery, and Dataform. The engineer will partner with stakeholders to deliver production-ready data and AI workflows, including RAG and automated decision support systems.
Senior Applied AI Engineer building production AI applications using LLMs and RAG to accelerate mission workflows for a defense company.
About Vialto Labs ( VLabs ) Vialto Labs ( VLabs ) is responsible for redesigning how work is delivered in the tax and immigration service lines, as well as driving operational efficiency across Vialto’s functional…
The Applied AI Engineer will build and deploy end-to-end AI features by integrating machine learning models into production systems. The role involves optimizing model performance, designing agent workflows, and ensuring reliability using technologies like Python, PyTorch, JAX, and LLMs.
Lead the architecture and implementation of enterprise-scale AI systems combining generative AI, autonomous agents, and knowledge graphs using Python, LLM frameworks, and graph databases like Neo4j or Amazon Neptune.
Principal AI/ML Engineer builds, deploys, and scales LLMs and agentic frameworks into production, owning end-to-end ML pipelines and LLMOps practices for Dell’s Services AI team in Bratislava.
The Agentic AI Engineer will lead the architecture and implementation of multi-agent workflows and event-driven platforms within State Street's GenAI Center of Excellence. This AVP-level role involves setting technical standards, managing cloud-native deployments, and mentoring engineering teams.
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
Design and build agentic workflows and AI-assisted tools using LLMs and retrieval systems to automate business processes in a manufacturing context.
Lead product strategy and directly own a product surface for Adobe's generative AI model customization and consistency features, serving as the company-wide authority on how creators control and personalize generative models across Adobe's tools.
AI Engineer developing and deploying applications for smart manufacturing at Micron, applying AI-enabled methods to improve development processes while collaborating with business and product teams.
Agentic AI Engineer Position ID: P946333 Location: Hangzhou, China Employment Type: Full-time Role Summary We are seeking an experienced Agentic AI Engineer to design, build, and evolve enterprise-grade Agentic AI…
The Lead AI Engineer will design and deploy production-grade computer vision and speech processing pipelines for Digital Green's multilingual agricultural advisory platform, FarmerChat. This role involves building optimized inference systems, defining evaluation frameworks, and mentoring junior engineers to support smallholder farmers globally.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
Senior AI Engineer designing and delivering production-grade RAG pipelines, agentic workflows, and LLM-optimised systems using Python, LangChain/LangGraph/LlamaIndex, and cloud infrastructure.
Hands-on AI Engineer & Trainer in a financial services AI Adoption team, providing technical support across all skill levels, building use cases with OpenAI/Anthropic tools, configuring Custom GPTs, and standing up AI usage/cost measurement tools.
This role leads GenAI project tracks within the Group Operations Capability Centre, focusing on the CSO Assistant initiative to improve customer servicing operations. The lead will manage end-to-end project delivery, coordinate with cross-functional data and business teams, and ensure adherence to GenAI governance frameworks.
The Senior AI Engineer will design and deploy production-grade autonomous agents and multi-agent systems for financial institutions using Python, LLMs, and AWS. The role focuses on building reusable agent architectures, integrating enterprise tools, and implementing MLOps practices for long-running AI workflows.
The AI Engineer will build and deploy end-to-end GenAI agents for the Pipes digital marketing platform, integrating ad platform APIs with C#/.NET and React. The role involves prompt engineering, agent development using Microsoft's Agent Framework, and collaborating with test engineers to ensure high-quality production releases.
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