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Python developer at Sber's B2B division building a system that automates the full lifecycle of corporate investment deals. Day to day: integrate APIs across task trackers, CI/CD, SCM and monitoring, orchestrate workflows, and embed LLMs/agents into dev processes, using Python (FastAPI, SQLAlchemy, LangChain/LangGraph).
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.
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.
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.
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.
Senior (SVP-level) full stack engineer at Citi who architects and hands-on builds secure, scalable applications supporting Agentic AI workflows, sets engineering standards, and mentors engineers. Core stack: React/TypeScript frontends, Python (FastAPI) and/or Java (Spring Boot) backends, LangChain/LangGraph, Kubernetes/OpenShift, and SQL/NoSQL databases.
Zone & Co, an ERP-native AI platform for financial operations built on Oracle NetSuite, is hiring an AI Software Engineer to design, build, and deploy production AI/ML systems that automate financial workflows. Day to day: end-to-end AI pipelines with LLMs and agent frameworks (LangGraph, AutoGen, DSPy), Python, cloud (AWS/Azure), and SQL/NoSQL databases.
At CAF, a railway manufacturer, this AI & Data Engineer in Beasain, Spain builds automation, ML, generative-AI and enterprise-agent use cases and industrializes batch and near-real-time data pipelines on the company's Data & AI platform, using Python, SQL, Spark, AWS/Azure, Databricks, Power BI and MLOps/LLMOps practices.
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