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WSC Sports, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. WSC Sports’ platform automates the creation,…
The Generative AI Engineer at KPMG Israel builds end‑to‑end GenAI solutions, handling Python backend development, microservices, and cloud deployment on GCP/Azure/AWS while engaging with clients to translate business needs into AI applications.
Senior Software Developer leads end‑to‑end development of Alice’s internal malware research platform, collaborating with researchers to build Python async, agentic LLM tooling and ensure high adoption while mentoring the team.
Alice is hiring an Engineering Manager to lead its Data Science group, which builds GenAI safety models (content moderation, automated LLM red-teaming) and the Databricks/Spark data platform behind them. The role is hands-on people leadership: setting technical direction, owning delivery, and growing a team working in Python, Rust, and PySpark on AWS/Kubernetes.
Own the architecture of LSports' large-scale real-time sports data platform on GCP (GKE, Kafka, GitOps) and build its agentic AI ecosystem — designing reliability, security, and FinOps for the cloud platform while defining how AI agents are orchestrated, evaluated, and governed in production.
Full Stack Developer (backend-oriented) at Deloitte in Tel Aviv building GenAI-powered solutions: architecting Python services, applying AI protocols, and using tools like LangChain, RAG, and vector databases, alongside React frontends and cloud/Docker/Kubernetes infrastructure. Full-time hybrid role collaborating on global teams.
Senior Software Engineer at Cryoport Systems leads technical initiatives and architecture for core supply-chain applications, including AI-powered features like LLM integrations and RAG pipelines, while mentoring engineers. Stack includes Ruby/Rails, Java, Python, React, AWS, Docker, and AI tooling like LangChain and vector databases.
Earnix is hiring a Backend Engineer in Paris to design, build, and document secure, scalable microservices and APIs for its pricing and underwriting platform, integrating LLM and agentic AI capabilities. Day-to-day work centers on TypeScript/Python backend development, cloud-native deployment on Azure/AWS, and containerized infrastructure with Docker, Kubernetes, and ArgoCD.
Embedded at client sites, this engineer takes AI use cases from whiteboard to production on Google's Gemini Enterprise Agent Platform — building agents in ADK, wiring MCP tools, grounding them on BigQuery/Spanner graphs, and deploying to Agent Engine/Cloud Run/GKE — while pairing with client engineers to hand off systems they can own and extend.
Full Stack Developer at Popai Health (a Team8 company) building end-to-end features for an AI healthcare platform that turns patient interactions into care actions. Day-to-day spans React frontends and a Chrome extension, Node.js/TypeScript microservices, PostgreSQL/Redis data layers, event-driven NATS systems, and LangChain/LangGraph-powered AI integrations.
Senior Full Stack Engineer in Calgary building production-ready tools, ETL pipelines, and a RAG-based AI assistant for the Brilliant Harvest platform. Day-to-day work centers on C#/.NET Core, Entity Framework Core, and LLM integration (GPT APIs, LangChain, vector databases), within an agile team.
An 8-10 year Python developer placed at Citi Bank in Mississauga, building production generative AI systems — RAG pipelines, LLM integrations (OpenAI, Gemini, Claude, LangChain) and MLOps on Kubernetes/OpenShift. Onsite, full-time, open to Canadian citizens, PRs, or OWP holders.
Senior Python developer (8-10 years) building GenAI/LLM-powered applications: designing RAG pipelines, prompt engineering, agentic use cases, and deploying models to production. Core stack includes Python ML libraries, LangChain/LlamaIndex, vector databases, and MLOps tooling with Kubernetes/OpenShift and CI/CD.
Build production-grade AI agents for enterprise planning, designing scalable systems that reason about high-stakes decisions using Python and MongoDB.
Full-stack AI Engineer on J.D. Power's Innovation Crew, building backend services, REST APIs, Snowflake data connectors, and frontend components for AI agent pilots and the internal Power Agents library. Hands-on work with frontier model APIs and agentic frameworks like LangGraph and CrewAI; remote across USA, Canada, Europe, or Australia.
ML Platform Engineer builds and scales AI model pipelines, deploys ML services on Kubernetes, and maintains FastAPI-based inference APIs for a large insurer’s internal AI ecosystem.
Python Developer at Prometeia in Bologna building LLM-powered intelligent agents, prompt-based data extraction from documents, and ETL pipelines, plus RESTful APIs for the Data & Analytics team. Core stack: Python, LangChain/generative AI tools, AWS, Docker, and Git.
A Python developer on Prometeia's Data & Analytics team in Bologna: day to day you design intelligent agents, build ETL pipelines, and implement RESTful APIs to extract information from texts and evaluate LLMs, working with LangChain and cloud services in a multidisciplinary, collaborative setting.
Senior Software Engineer at Artefact, a European Data & AI consulting firm in Paris. Day to day you design and build client solutions — GenAI/agentic architectures (LangGraph) and data platforms on GCP (dbt, Snowflake, Terraform, Docker) — rotating across missions, sectors and stacks. Hybrid: remote from anywhere in France, max 2 days/week on-site; package €66–76k.
Lead SAP BTP extension developer and product owner at a Swiss SAP consultancy: build modern cloud applications with CAP, Node.js and Fiori on SAP Business Technology Platform, own product vision and architecture, evaluate AI/LLM approaches (SAP AI Core, Joule, LangChain), and coach junior developers.
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