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WHO WE ARE We are Fastweb + Vodafone, the leading telecommunications operator in Italy, with some of the most extensive and high‑performance proprietary infrastructures in the country, through which we manage over 20…
About Dura Digital Dura Digital is a global digital transformation and consulting company that helps organizations turn emerging technologies into practical business outcomes. We bring together strategy, human-centered…
About Us nShift is the leading global provider of cloud delivery management solutions (SaaS), we enable the frictionless shipment and return of almost one billion shipments across 190 countries each year. We are…
Senior AI Engineer at WeDOTalent, a Brazilian HRTech startup building autonomous recruiting. The role builds core product layers: multi-agent LLM systems in production, LLM orchestration and tool calling, continuous evaluation harnesses, and runtime governance infra, using Python, LangGraph/AutoGen, Rails, Next.js, PostgreSQL/pgvector and GCP.
Builds and operates AI-powered applications — LLM integrations, RAG pipelines, and agentic workflows — along with the DevOps infrastructure that runs them: CI/CD, Docker/Kubernetes, Terraform, AWS/GCP and GPU compute, plus monitoring, security, and workflow automation across cloud, on-premise, and private cloud environments.
Builds and scales AI-driven cybersecurity systems, focusing on agent workflows, retrieval pipelines, and secure backend infrastructure for a new DLP platform.
BMO Financial in Calgary is hiring a full stack engineer (5-10 yrs) to build and support banking and client onboarding platforms end-to-end across React/Angular frontends, Java/Node.js/Python backends, and microservices/APIs, while embedding LLM features such as RAG pipelines, document processing, and agentic workflows in a regulated banking environment.
A senior (8-10 years) Python developer role placed at Citi Bank in Mississauga, building and deploying Generative AI/LLM applications. Day-to-day work centers on RAG pipelines, LLM app development and prompt engineering using Python, FastAPI, LangChain, PyTorch, vector databases, plus MLOps and Kubernetes/OpenShift deployment.
Third engineer joining two founders to take technical ownership of OneView, a legal AI platform for contract review and compliance. Day to day spans PostgreSQL/pgvector retrieval, LangGraph pipelines, a FastAPI backend, React/TypeScript frontend and CI/CD/observability, with a growth path to CTO.
A senior engineer in Antwerp takes technical ownership of the AI product OneView, building LangGraph retrieval pipelines on PostgreSQL/pgvector, a FastAPI backend, and a React/TypeScript frontend, with CI/CD and observability on Azure, on a path toward a CTO role in a small team.
Designs, builds, and deploys enterprise-grade Generative AI and Agentic AI solutions using LangChain, LangGraph, RAG architectures, and LLM frameworks, with observability via LangSmith. Also applies classical ML and MLOps practices on cloud platforms such as AWS, Azure, and Databricks.
Senior backend engineer at Douleutaras/YourHero, a home-services marketplace connecting customers with professionals in Greece, Cyprus, and Ireland. You own features end-to-end — matching/bidding, payments, platform performance — using Python/Django, PostgreSQL, Celery, and Kubernetes on AWS.
A Data Engineer at Ampstek designs ETL pipelines and vector database infrastructure (pgvector, Azure AI Search, Redis), enforces data governance, and builds real-time event-driven flows that keep embeddings and indexes fresh for AI agents.
Senior Python Developer in Mississauga building production GenAI/LLM applications: designing RAG pipelines and agentic workflows, engineering prompts, and deploying models via Vertex AI/Hugging Face on Kubernetes, using Python ML stack (PyTorch, TensorFlow, LangChain, FastAPI) and MLOps/CI-CD tooling.
Build and maintain a SaaS platform that integrates RPA pipelines with AI agents, using Python/Node.js backends and React frontends to deliver automation insights to users.
Senior ML Engineer at a remote-first AI agency, building production LLM apps, agentic workflows, and custom predictive models for client projects across industries. Day-to-day: Python/SQL data work, AWS deployment (Lambda, SageMaker, Bedrock), LangChain/LlamaIndex orchestration, and AI evaluation.
HPE is hiring a hybrid Full-Stack AI Engineer in San Juan (2 days/week onsite) to build Python/Django backends, React frontends, and production AI/ML features (NLP, LLM APIs, vector search), while running CI/CD pipelines and Docker/Kubernetes deployments across AWS, Azure, GCP, and Oracle Cloud marketplaces.
Full-Stack AI Engineer at HPE building and deploying AI-powered applications: Python/Django backends, React frontends, and ML/LLM features (NLP, prompt engineering, AI APIs) on cloud-native infrastructure. Day to day spans production AI integration, PostgreSQL schema and REST API design, and CI/CD with Docker and Kubernetes in a hybrid role (2 days/week in the San Juan office).
Client-facing Forward Deployed AI Engineer at NewRocket, an AI-first ServiceNow partner, designing and deploying enterprise AI solutions for clients: Claude/Anthropic LLM apps, RAG pipelines, agentic workflows, and governed data integrations with ServiceNow. Day to day blends Python data engineering, prompt/context engineering, evaluation, and consulting.
Data Engineer in PwC Netherlands' Data & AI Consulting team, building reliable data pipelines, platforms, and AI-ready data foundations for government and commercial clients. Core stack: Azure, Databricks, Snowflake, Python, SQL, Spark, dbt, Airflow, Kafka, with CI/CD and Infrastructure as Code.
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