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Design, build, and iterate AI agents (voice/text) for clients in production, including prompt versioning, workflows, integrations, and QA. Develop LLM, API, database, and data pipeline integrations while monitoring and optimizing agent performance (conversion, conversation quality, latency).
AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA! Requisition Job Title: AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid – Omaha, NE preferred)…
Обязанности: Разрабатывать AI-сервисы и AI-агентов для банка (AI-Nur, GenBI, Voice AI, внутренние AI Copilot). Создавать backend-сервисы на Python, API и микросервисную архитектуру. Интегрировать LLM, RAG, MCP, базы…
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
AI Software Engineer (remote) optimizing Java/Spring Boot trading-control applications, using AI tools like GitHub Copilot and Devin to accelerate development, improve code quality, and reduce technical debt in banking/insurance environments.
Nextar, azienda di consulenza IT con sedi a Milano, Roma, Torino e Napoli, cerca una figura esperta per progetti di sviluppo software e consulenza IT. La posizione richiede esperienza e competenze avanzate in Python,…
The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
Lead the adoption of Generative AI and digital communications capabilities across a major university's communications function, developing guidance, training, and AI-enabled workflows.
Evaluates and validates AI-generated content (text, audio, images, video) for accuracy, relevance, and quality, annotates data, and provides feedback based on project guidelines.
Intern builds and tests AI components for healthcare informatics, using LLM APIs, orchestration frameworks, and data pipelines to improve treatment, payment, and operations.
Designs and deploys AI agents in Python to automate workflows and decisions, integrating with internal systems and third-party models while measuring business impact in a fast-paced trading environment.
The AI Engineer will work within an innovation studio at a London Market insurer to develop and implement AI solutions using GCP, Google Gemini, Anthropic, and Copilot.
The Principal AI Engineer will bridge enterprise AI strategy with software engineering execution, overseeing the integration of AI models into scalable applications while managing FinOps and technical standards. This role focuses on technical leadership and architecture across federated development squads.
Agentic AI Engineer building AI agent solutions using Python, FastAPI, vector databases, LLMs, RAG, and LangChain/LangGraph on GCP.
Build and maintain AI-powered analytics pipelines and semantic layers that turn enterprise data into trustworthy, actionable insights for business users across procurement, manufacturing, and sales.
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.
Leads AI system design and development for Fortune 500 clients, integrating LLMs, RAG, and agent architectures into enterprise backend systems in a Washington DC office.
Build and deploy enterprise-grade GenAI applications using Dataiku, including chatbots, RAG systems, SQL agents, and AI-driven reporting with custom web apps.
Design and develop GenAI-powered integrations and connectors (Microsoft Copilot, Google Gemini, Claude, OpenAI) for enterprise use cases, implementing MCP and agent-based communication patterns using Python.
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