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The Opportunity Join Adobe's AI Foundations team within the Search, Discovery & Content AI (SDC) organization and help build the next generation of AI-powered retrieval, matching, ranking, and content…
Unleash your potential and shape your future in a role that transforms raw data into innovative solutions. Be at the forefront, collaborate with stakeholders, and excel in both traditional and low-code environments to…
Mid-level full-stack developer building and running Generative AI cloud applications on Azure — mostly backend work in Python or .NET, with some React/Next.js frontend, plus CI/CD, infrastructure-as-code, and observability. Fully remote within Spain, client-facing project work.
Middle full-stack developer building and running Generative AI cloud applications in the Microsoft ecosystem, mainly backend (Python or .NET on Azure) with occasional React/Next.js frontend work, CI/CD, and infrastructure-as-code. Fully remote within Spain; candidates must live in Spain with work authorization.
Senior software engineer on Instacart's AI Labs & Foundations team, designing, building, and operating high-scale production AI systems such as the Cart Assistant conversational agent and voice AI. Core work spans LLM API integration, RAG/vector search, embedding infrastructure, and end-to-end service ownership using Golang, Python, or TypeScript.
Senior security engineer who hardens Supabase's cloud platform day to day: securing AWS, Kubernetes, and containerized Linux workloads via threat modeling, risk assessments, and scalable guardrails, partnering with infra, platform, and SRE teams. Fully remote role scoped to AMER/APAC.
Remote (US) Senior AI Engineer on Chemours' AI & Data Science team who designs, builds, and productionizes GenAI agents and traditional apps across business functions like Manufacturing, Legal, and Finance. Core stack: Python, JavaScript/TypeScript, React, Pydantic, RAG and multi-agent architectures, with Azure CI/CD.
The Senior Software Engineer will build and scale the Agentic Deal Desk product by developing Java microservices and the underlying AI agent harness. This role focuses on creating reliable, enterprise-grade agent infrastructure using LLMs, tool dispatch systems, and state management engines.
Senior engineer on Microsoft's Copilot, Agents, and Platform org in Redmond, WA, building and operating Python and C# services and internal tooling that automate security assurance, compliance evidence collection, and controls validation, applying agentic/LLM-backed workflows, with design leadership, on-call ownership, and mentoring.
A hands-on senior Python engineer building secure AI-agent data foundations for Intellias's global investment-management client in London: production Python services, data pipelines, catalogue/semantic/entitlement layers, and agent-facing retrieval (RAG, vector search, MCP APIs). Core stack: Python, SQL, columnar formats, query engines (DuckDB/Trino/Spark/ClickHouse), and LLM/agent tooling.
Builds and deploys AI-enabled, cloud-native full-stack applications on Microsoft Azure, integrating AI services and collaborating with teams to solve enterprise customer challenges.
Staff engineer building and maintaining AI agent evaluation systems, RAG pipelines, and testing frameworks to ensure reliability and safety of LLM-powered identity verification features.
Senior individual contributor at Order.co who defines the company-wide data and applied AI architecture and standards, then personally lands production AI systems (predictive ordering, agentic copilots) on governed procurement data. Roughly half strategy/architecture, half hands-on implementation with LLMs, agents, and cloud data platforms.
Embed with defense customers as a technical partner, building and deploying backend systems that power generative AI capabilities across cloud, on-prem, and air-gapped environments.
Design and maintain scalable streaming platforms using Kafka, AWS, Flink, and OpenSearch to power real-time analytics and AI-driven data solutions.
Design and deliver scalable AI-powered software solutions, owning architecture and end-to-end implementation on AWS, Azure, and Databricks. Day to day centers on LLM patterns (RAG, vector search, PEFT) plus DevOps with Docker and Kubernetes, collaborating across teams on global client projects.
What you'll be doing Design, develop, and deliver AI-powered features in Sana Commerce – agents that act on real commerce data (catalog, pricing, inventory, orders) Work with modern LLM frameworks and toolchains…
Build and ship AI-powered healthcare features for an EHR platform, coding LLM integrations and RAG pipelines while shaping product strategy and engaging clients.
Backend-heavy senior full-stack role owning Python/FastAPI APIs, PostgreSQL data modelling, AI/LLM integrations, Airflow data pipelines, and AWS infrastructure for an Israeli AI startup that analyzes books and manuscripts for the publishing industry; occasional work on the existing React/Material UI frontend.
Design and deploy ML systems (classical, deep learning, and GenAI) for clients in climate, healthcare, and education, using Python, PyTorch, and AWS.
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