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BackEnd Developer l Multinacional tecnológica
Senior Backend Developer building an AI Generative platform on Azure, designing backend services, APIs, and AI pipelines for agentic AI systems.
Senior Backend Engineer — AI-Powered Risk Analytics
Designs and maintains scalable backend systems for Moody’s insurance analytics platform, collaborating with data scientists to integrate AI-driven risk models.
Senior Software Engineer (Golang, Storage) - remote in the US
Designs and builds storage control-plane software (Go) for GPU-accelerated AI platforms, integrating enterprise storage into Kubernetes environments with focus on performance, observability, and hybrid/air-gapped deployments.
Go (Golang) Software Engineer, Developer Tooling and Containers
Build an open-source developer tool in Go that integrates with Ubuntu, containers, and modern IDEs to streamline environment setup across domains like Robotics and MLOps.
Principal Software Engineer - Platform (Remote US)
Builds and maintains the core Rust-based infrastructure for an AI platform, focusing on scalability, reliability, and ML workflow support.
[Job-31203] AI Engineer Master, Brazil
Hands-on tech lead owning AWS enterprise cloud architecture and building AI agents within an Agentic SDLC framework, while modernizing a legacy VB6 application. Core tech: AWS CDK in TypeScript, Java/Spring Cloud Function, React, serverless AWS services, and agentic AI frameworks.
Senior AI Engineer
Build and maintain scalable, cloud-native AI solutions on AWS for Cellebrite's digital investigation platform, focusing on ML workflows, real-time inference, and observability using Python, TypeScript, and AWS services like SageMaker and Lambda.
IT DevOps Engineer
The IT DevOps Engineer supports the deployment and operationalization of Automation solutions within enterprise environments. This role works across software engineering, DevOps, and customer delivery to facilitate the…
Head of Data Science
Lead the Data Science function at Bkaya, a fintech, defining strategy, building a team, and driving ML/AI initiatives that deliver measurable business impact using Python and SQL.
Lead Data Engineer - Scale Pipelines & AI‑Ready Stack
The Lead Data Engineer will design and deploy scalable data pipelines and API integrations while mentoring engineers and shaping data architecture in a cloud environment. The role involves collaborating with AI/ML teams and driving data governance and operational excellence.
Engineering and Quality - Lead Data Engineer
Lead Data Engineer designing, building, and scaling data pipelines, APIs, and AI-ready data solutions for Fitch Group’s financial services platform. Focuses on cloud (AWS), data governance, and AI/ML tooling (LLMs, RAG, vector databases) to empower business decisions.
Software Engineer
Build and scale AI-driven applications, data pipelines, and backend services at Maersk in Copenhagen, working across data engineering, platform development, and agentic AI using Python/Java, cloud platforms, and CI/CD.
Senior Security Consultant
Leads security assessments for web, API, mobile, and thick-client apps, mentors junior consultants, and advises clients on remediation using tools like Burp Suite and Metasploit.
Software Development Engineer, AWS Amazon Connect - AI Voice Applications
This role involves developing AI-based voice solutions for the Amazon Connect cloud-based contact center platform. Engineers will work across the full stack, collaborating with applied scientists to build scalable, resilient systems.
Lead AI Engineer - SRE, LLM Agents, Full-Stack Architecture
Lead AI Engineer designing and operationalizing next-gen agentic AI systems for a financial institution, focusing on LLM architectures, RAG pipelines, and SRE for secure, compliant banking automation.
Data Scientist (Askuity division)
Data Scientist at Askuity (Home Depot division) designing and deploying ML models, GenAI/RAG solutions, and analytics pipelines on GCP/Vertex AI to power retail and supplier decision-making.
Data Scientist
The Data Scientist will lead the development and implementation of machine learning and AI products within Fraser Health to improve clinical outcomes. The role involves managing the full ML lifecycle, from data integration and model development to production deployment and stakeholder communication.