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An Enterprise Generative AI Engineer builds production-ready AI solutions that integrate LLMs with enterprise applications, working with AI SDKs, workflow automation, enterprise integration, and modern AI observability tooling. It is a long-term W2 contract (no C2C) based in one of five Midwest US cities.
Builds scalable, GDPR-compliant multi-tenant AI solutions for enterprise customers from Osnabrück, owning the full lifecycle from architecture and CI/CD to deployment and monitoring. Works AI-natively with assistants like Claude, Cursor, and Copilot, coding in Python or TypeScript on Microsoft Azure.
Designs and builds AI solutions for clients — including generative AI and LLMs — integrating them into existing processes via APIs and SDKs and bringing them to production with modern MLOps on Azure. Hands-on work at the intersection of data science and software development, collaborating with data engineers and customers.
Designs, develops and productionizes AI solutions (generative AI, LLMs) on client data, working at the intersection of data science, data engineering, cloud engineering and software development. Core stack: Python, SQL, ETL, Azure AI / Azure Machine Learning, MLOps, and integration via APIs/SDKs.
A junior/associate engineer in Jaipur who builds and ships production LLM apps, RAG pipelines, and agentic workflows using Python/FastAPI, vector databases, and frameworks like LangChain or LlamaIndex. The role expects daily use of AI coding tools (Claude Code, Cursor, Copilot) to develop, test, and deploy faster.
Principal AI Engineer at Be Additive in New York City (3 days/week onsite), building AI systems on large-scale Python plus a systems/backend language like Go, Rust, Java, or C/C++. Day to day involves API and microservices design, data structures/algorithms work, and operating data pipelines and production-grade distributed systems.
Builds and maintains the AI layer of a GCC Intelligence Platform, including an LLM-powered conversational agent with grounding, retrieval, and permission-aware querying for enterprise users.
MC Engineering cerca un Software Engineer - Docker per un progetto nel settore Financial Services. Sarai parte di un team che sviluppa backend cloud-native e integra soluzioni GenAI/Agentic AI in AWS, usando Python,…
Senior engineer to lead TGV Cinemas' Enterprise Data & AI Platform on AWS — building data pipelines, integrations, governance, QuickSight dashboards, internal web apps and AI-powered automation. Core stack: AWS, advanced SQL, Python, ASP.NET, ETL/ELT and REST APIs.
Leads the design and build of TGV Cinemas' enterprise data and AI platform on AWS, creating data pipelines, governance, APIs, internal web apps and QuickSight dashboards for self-service analytics. Works closely with the CIO to drive analytics and AI adoption across the organization.
Software engineer on Grab's Applied AI team building LLM-Kit — Grab's internal framework for building, deploying, and monitoring LLM-powered products. Day to day: libraries, scaffolding, and a CLI (FastAPI templates, ReAct/MCP agents, GrabGPT connectivity, Vault secrets, auth, guardrails, observability), based in Selangor, Malaysia.
If you are here, it is because you know that we are looking for a AI Engineer for our Product team. indigo.ai is the leading platform in Italy for building next-generation AI Agents that transform the way companies…
Designs and delivers AI/ML solutions for Virtusa's clients on Google Cloud — Vertex AI, MLOps, Document AI, Generative AI, and agentic workflows (ADK, LangChain, AgentSpace) — in a consulting-style role that may involve travel to client meetings. Strong coding in Python/Java/C++ and production ML experience are central to the job.
Staff AI Engineer at RBC in Toronto who owns the platform layer that turns AI-generated code into production-grade, deployable software — building code promotion pipelines, runtime infrastructure (containers, orchestration, IaC), and governance/observability standards, using Python, agent frameworks (LangGraph, CrewAI, AutoGen), FastAPI/gRPC and MCP.
Senior individual contributor (14+ years) who designs, builds, and deploys AI-driven business process automation, hands-on with Java, SQL, Azure developer tools (Logic Apps, Function Apps, ADLS, Service Bus), Power Platform, and GenAI. Based in Toronto with at least 3 days onsite from day one.
Engineer in CAAS's Air Traffic Management Cloud Services section building cloud-based data and AI platforms for ATM/ANS projects: gathering stakeholder needs, drafting specifications, and delivering solutions using cloud, data/AI, DevOps/CI-CD and Agile. Also handles procurement, budget optimization, cybersecurity upkeep, and IT service management.
An early core engineer at an AI-first investment startup in Singapore, owning data infrastructure end-to-end — building ingestion and processing pipelines, data models, and LLM applications with cloud-native design. Core stack: Python, SQL, LLMs, and cloud-native tooling.
SAKSOFT PTE LIMITED is hiring a Data & Integration Engineer in Singapore to translate requirements into data flows and design interfaces, coordinating across data platforms, applications, security, and infrastructure to ensure reliable data movement and preparation for GenAI workflows.
A hands-on Senior AI Engineer at Better Collective in Copenhagen builds, tests, and productionizes AI solutions for the publishing business, focusing on automated content creation and AI-assisted publishing workflows. Core stack includes LLMs, APIs, orchestration frameworks (LangChain, LangGraph, LlamaIndex), Python/TypeScript, and agentic coding tools like Cursor and Claude Code.
Prompt engineer at SGTraDex Technologies (an IMDA-owned subsidiary building Singapore's trade data exchange), working at the intersection of software development and GenAI: crafting prompts and workflows to guide, review, and refine AI-generated code, and architecting enterprise-scale apps using tools like GitHub Copilot and Claude Code across full-stack, cloud, and DevOps pipelines.
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