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The Platform Engineer will build infrastructure, API integrations, and AI-powered applications to embed AI capabilities into internal workflows at a defense technology company. The role focuses on practical implementation using Python and TypeScript to connect AI models with internal systems.
Staff Applied AI Engineer who works directly with enterprise customers to scope, build, and deploy Gen AI/ML solutions — RAG systems, fine-tuning pipelines, prompt engineering, and agentic workflows — using Python and the modern applied AI stack (PyTorch, Hugging Face, FAISS, vector DBs, LangGraph), while turning repeatable patterns into reusable internal tooling and best practices.
Junior AI Engineer at High-Tech Gründerfonds (a leading European seed VC) builds AI agents, RAG pipelines and LLM applications used internally for dealflow and portfolio management. Daily work spans Python/FastAPI, LangGraph agent pipelines, vector/graph retrieval, LLM evaluation with Langfuse, plus React frontends and Docker deployment.
The Team – your impact As a AI Engineer (f/m/d) , you will be responsible for designing, developing, and optimizing AI solutions that enhance decision-making, improve operational efficiency, and enable smarter energy…
About Monterail & The New Default Monterail is a product design and software development company that has rebuilt how it works for the agentic era. Since 2010, we’ve designed and built web, mobile, and AI products…
Staff engineer who builds and ships production LLM-powered AI agents and features for a health coaching platform, owning the full AI lifecycle from prototyping and evaluation through deployment, monitoring, and iteration. Core stack: Python, LangChain/LangGraph, Pydantic, and streaming APIs (SSE/webhooks).
Build and improve AI agents that run customer-service conversations for Lime Connect's clients: designing the agent loop, tool calling and context management, keeping the architecture model-agnostic, wiring in APIs, MCP tools and website crawling, and validating changes with evals. Needs ~5 years backend experience incl. LLM work; office-first in Cologne (3 office days, 2 remote).
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.
QUI SOMMES-NOUS ? Rejoindre les équipes de VINCI Construction SI, c’est participer à la transformation digitale du Groupe au service des utilisateurs. Nos missions sont de moderniser nos outils de gestion, nos…
At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance…
We're looking for a mid-level full stack engineer to build features end to end across a Python/FastAPI backend and a React/TypeScript frontend. A large share of the work involves LLM-powered product features: an AI…
Project description Our client is advancing its in-vehicle voice assistant into an intelligent, AI-powered companion. Large-language-model capabilities (Azure OpenAI / ChatGPT) have been running in production across…
Designs and maintains generative-AI agent chains that turn repository context into validated pull requests and automate CI/CD flows in an increasingly agentic, deterministic SDLC. Core stack: Python 3.11+ with asyncio and pytest, agent frameworks (LangGraph, Pydantic AI), Azure Pipelines YAML with Jinja2 templating, and RAG — onsite in Madrid.
Dryft is hiring a Founding Forward Deployed Engineer who splits time 50/50 between engineering and customer work: leading end-to-end ERP integrations and rollouts at manufacturing clients, then turning what they learn into product features. Stack is TypeScript/React on the frontend and Python/FastAPI (with Temporal, Postgres/pgvector, Dagster, Pydantic AI) on the backend.
Dryft is hiring a Full-Stack Engineering Intern to build agent-based systems that automate decisions for large manufacturers, shipping features end-to-end across the LLM pipeline, backend, and frontend. Stack: TypeScript/React frontend; Python/FastAPI backend with Postgres, pgvector, Temporal, and Dagster; AI tooling like Pydantic AI and Langfuse.
Founding full-stack engineer at Dryft, an AI startup whose models automate complex decisions in manufacturing operations. You'd own features end-to-end — LLM agent pipelines, backend, and frontend — building the orchestration and guardrails behind agents that run critical processes for large industrial manufacturers. Onsite in San Francisco or Munich.
Designs and builds scalable data pipelines, RESTful microservices, and backend analytics services for large-scale environmental and financial datasets. Core stack: Python with FastAPI/Pydantic, PostgreSQL/MySQL, Plotly Dash dashboards, Pytest, and Scikit-learn model integration.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise…
Leads multi-disciplinary engineering teams at GHX (healthcare supply chain tech) building an AI-augmented document-understanding platform, managing through team leads while setting technical direction and owning delivery. Stack spans Python/Java, FastAPI, AWS, LLM tooling (LangChain, LangGraph), and Angular/React.
About Infinitive Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology…
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