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Full-Stack Developer, AI Applications
Build and extend AI-driven marketing workflows and interfaces using TypeScript, React, Next.js, and Python; own multi-tenant features, streaming UIs, and LLM orchestration in a product that powers enterprise martech.
Data Engineer
Build and optimize Neo4j graph models to detect fraud rings and money laundering in real time for banking clients using graph analytics and Python.
Data Engineer
Builds and deploys Python/FastAPI backend services and GenAI pipelines (LLM, graph DBs) for a logistics-focused AI product, integrating with ERP systems and CI/CD workflows.
Remote Senior Data Engineer @ Varwise
Senior Data Engineer at an Adtech company building and scaling a big data identity graph using Python, Spark, cloud platforms (AWS/GCP/Azure), and integrating AI/LLMs.
DevOps Engineer @ Mindbox Sp. z o.o.
Design and automate CI/CD pipelines, Infrastructure as Code, and Kubernetes deployments for a global financial institution’s Identity & Access Management transformation using Terraform, GKE, Helm, and DevSecOps practices.
Data Engineer, Knowledge Graph
Design and build a financial knowledge graph to model complex relationships between companies, industries, and economic insights, using graph databases and Python.
Data Platform Engineer
Design and build scalable data platforms and AI systems for enterprises, using AWS/Azure services, Python, and modern data architectures like data mesh/fabric.
IAM Devops
Build and secure cloud infrastructure using Terraform and GCP, automate deployments with Kubernetes and CI/CD, and manage identity/access systems for a global enterprise.
Graph Analytics Full-Stack Engineer
Builds full-stack features for graph analytics on the Neo4j Aura platform, focusing on user-facing UX and backend services in a distributed team.
Sr. Enterprise Account Executive
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for…
Engineering Manager, Data Platform
Lead a team building scalable data infrastructure to analyze blockchain transactions at petabyte scale, ensuring high availability and sub-second query performance for TRM’s AI-powered financial crime investigation platform.
Middle Full Stack Engineer (Quezon City) | Hybrid, Morning Shift
Builds and maintains full-stack applications using Java/Kotlin Spring Boot, Angular/React, and graph/relational databases in a hybrid agile team.
Senior Fullstack Engineer (Quezon City) | Hybrid, morning shift
Senior full-stack engineer building scalable Java/Kotlin Spring Boot APIs and modern front-end apps with Angular/React, using AWS, Neo4j, MySQL, Docker, and Kubernetes in a hybrid setup.
AI/ML Engineer (Mid-level to Principal)
Design and own AI agents for enterprise data transformation, retrieval, and code generation using Python, vector databases, and cloud infrastructure.
Lead Data Engineer | Careers | Knowledge Gate Group
Lead a team building a knowledge graph that maps scientific experts from publications and clinical trials using graph databases, vector embeddings, and LLM workflows to power expert discovery and AI-driven insights.
Senior Data & AI Platform Engineer
Build and scale backend systems, data pipelines, and AI/ML data flows using Python, PostgreSQL, Kafka, and cloud platforms to power AI-driven products.
Senior Data & AI Platform Engineer
Design and build scalable data platforms and AI pipelines, integrating ML outputs into backend systems using PostgreSQL, Kafka, and Python.
Full-Stack Developer [UAE]
Builds and maintains full-stack web apps using PHP, Python, and databases like MySQL or ElasticSearch, ensuring responsive design and collaborating with designers and product managers.
[Hybrid] Full Stack Developer (Python, AWS) - ~65M Gross - Quận 3
Build and maintain backend services in Python and AWS (SQS, S3, Lambda/ECS), occasionally contribute to frontend with React, and run CI/CD pipelines.
Senior Neo4j Graph Data Engineer for Fraud & AML
Build and optimize Neo4j graph models for banking fraud and AML, apply GDS algorithms, and collaborate with risk teams to deliver scalable solutions.