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The Staff Software Engineer will design and build autonomous AI agents using frameworks like LangChain and AutoGen to transform enterprise workflows. The role involves integrating these agents with cloud systems and optimizing them for performance and scalability using Go, Rust, or Python.
Senior Software Engineer building and operating a real-time IoT telemetry data platform—backend services, data pipelines, and forecasting/anomaly detection—primarily with Python, SQL, and Azure Databricks, using AI-assisted coding tools daily.
Sydney Location / Hybrid Working Model Seeking AWS AI SME Join the AI Mission with Us! At Westpac, we're not experimenting with AI. We're engineering it into the fabric of one of Australia's largest and…
Build and deploy AI products—query assistants, report summarizers, multi-agent chatbots—for a Vietnamese securities firm (ACBS), using Python, LLM agent frameworks, RAG pipelines, and cloud infrastructure (AWS/GCP).
The Principal Machine Learning Engineer will lead the development of large-scale, fault-tolerant agentic AI experiences for Zillow's real estate platform. The role involves designing multimodal AI assistants, implementing safety guardrails, and bridging applied research with scalable engineering.
Thiết kế và xây dựng các sản phẩm/tính năng AI: trợ lý truy vấn, tổng hợp, thống kê, so sánh và phân tích dữ liệu thị trường, ngành, mã chứng khoán; xử lý và tóm tắt báo cáo, tài liệu; chatbot/trợ lý nghiệp vụ cho…
NOTE: This is a 1-year, Fixed-Term Position. Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use…
About Us 🚀 Bridgit is a leading non-bank lender transforming the way Australians access property equity. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution —…
AI Product Manager designs and delivers AI-powered financial consulting tools for private equity clients, translating complex finance problems into technical requirements using agentic AI, RAG pipelines, and sprint-based delivery.
Design and implement agentic AI systems using frameworks like AutoGen, LangGraph, and CrewAI, with emphasis on prompt engineering and multi-agent architectures, in an onsite role in Warren, NJ.
Lead a team building AI agents to automate enterprise workflows, owning discovery, architecture, and business outcomes for domains like Sales, HR, and Finance using Python and LLM integrations.
Principal Engineer builds and scales AI-driven platforms and agentic systems for clients, guiding architecture and mentoring teams across diverse tech stacks.
Lead Software Engineer at a tech consultancy, leading client engagements from discovery to production across multiple languages and frameworks, with increasing focus on AI/ML and agentic systems.
LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we…
Salary: £80,000 - 100,000 per year Requirements: Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM, and RAG solutions. Experience with frameworks…
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Monitors and secures AI tools, agents, and models across the company, hunting for unauthorized usage and data risks while supporting compliance with AI governance frameworks like ISO 42001.
Monitors and secures AI tools, agents, and models in use across the company, hunting for unauthorized AI activity and ensuring compliance with AI governance frameworks like ISO 42001.
Build and maintain Nexxen’s internal AI platform, designing reusable AI capabilities, multi-agent systems, and production-grade AI services using Python, Kubernetes, and modern cloud-native tools.
Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
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