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ML Engineer designing, deploying, and maintaining production ML systems for healthcare, transport, and HR products using Python, PyTorch, scikit-learn, and MLOps tools like MLflow in a hybrid Quebec office.
Builds and enhances AI-powered SaaS features, integrates LLMs, and maintains scalable backend systems for a venture-backed company transforming customer engagement with generative AI.
Senior backend engineer owning architecture, delivery, and operations for two pre-launch AI-native products (a consulting platform and a 3D data visualization platform) using Python/FastAPI, Go, PostgreSQL, Redis, and LLM agent systems deployed on Kubernetes/DigitalOcean.
Develops real-time data fusion and analytics systems for public safety/security, focusing on scalable software modules, API integrations, and high-performance distributed systems using Java/Python.
Build and operate production agentic AI systems for an HR-focused platform, ensuring LLM-powered agents are observable, testable, and reliable using Python, RAG, Django, and full-stack tooling.
Cloud/DevOps Engineer building and automating AWS infrastructure from scratch using Terraform/CloudFormation, Kubernetes, and observability tools like Prometheus/Grafana. Responsibilities include provisioning AWS resources, CI/CD pipelines, and container orchestration.
Senior Backend Developer will architect and build an Agentic AI platform on Azure, designing APIs, data pipelines, and AI services while managing multi-layer storage and agent tools.
Junior consultant designing and implementing data engineering solutions, BI/analytics tools, and hybrid cloud architectures for clients using SAP and non-SAP platforms.
Junior Data Engineering Consultant designing and implementing BI, analytics, and data solutions using SAP/non-SAP tools, cloud architectures, and data science methods for German/English clients.
IT-Berater:in für Data Engineering mit Fokus auf SAP Analytics Cloud und hybride Cloud-Architekturen; konzipiert und implementiert BI-, Analytics- und Data-Warehouse-Lösungen mit SAP/Non-SAP-Tools wie SAP BW, HANA, Azure und Python/R.
Fullstack developer working on Buildsimple, an AI-based SaaS platform for intelligent document processing, using JavaScript/TypeScript/React on the frontend and Java/Spring Boot on the backend, deployed on AWS.
Software Developer role focusing on TypeScript React Frontend development for Buildsimple, an AI-based document processing platform. The position involves developing new features for a SaaS application on AWS infrastructure, potentially including backend development with Java and Spring Boot, and working with machine learning teams.
Java backend developer for Buildsimple, an AI-based intelligent document processing SaaS platform, building features on AWS with Java/Spring Boot, optimizing CI/CD pipelines, and collaborating with the ML team.
Java/Fullstack developer on an AI-based SaaS document-processing platform (Buildsimple), building features and APIs on AWS using Java, Spring Boot, and optionally JavaScript/TypeScript/React.
Develop and enhance an AI-driven SaaS platform for intelligent document processing using Java/Spring Boot microservices, cloud infrastructure, and APIs.
Hands-on Technical Lead at an AI-powered fitness retention startup, writing TypeScript/Node/React/Postgres code weekly while mentoring developers and setting engineering standards from the Sydney CBD office.
Define and evolves the AI agent experience on WhatsApp, focusing on user satisfaction and cross-channel cohesion while navigating uncharted product territory.
The AI/ML Solutions Engineer builds and deploys machine learning pipelines and Generative AI applications while ensuring regulatory compliance and model governance. The role involves developing ETL processes, benchmarking models, and performing risk assessments within a financial services environment.
Develops a GenAI-powered internal strategy digitization platform, building backend APIs, LLM/RAG pipelines, and vector/graph DB integrations to process corporate docs and track initiatives. Bridges AI and full-stack tech to prototype and scale product features.
Lead a team to design and build AI-ready data platforms, ETL/ELT pipelines, and semantic layers using Snowflake, Databricks, dbt, and Fivetran for clients across industries.
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