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Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Remote Full Stack Engineer — Build Scalable Web Apps
Build and maintain full-stack web apps using Java/Spring Boot, APIs, and cloud platforms while ensuring performance and security in a remote team.
Full Stack Developer
Build full-stack web and mobile apps using React, Django, Node.js, and React Native/Flutter, deploy on AWS/GCP/Azure, and integrate AI features.
Full Stack Developer
Build and maintain MERN-stack web apps, integrate AI APIs, and automate workflows for a startup adopting AI-first practices.
Senior Full Stack Engineer
Builds a SaaS platform that digitizes enterprise procurement workflows, integrating AI for RFQ drafting, document parsing, and supplier collaboration using React, Node.js, and PostgreSQL.
Senior ML Engineer Infrastructure & Data Systems
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Technical Team Lead – Full Stack Development
Lead a remote engineering team building AI-driven full-stack applications using React, Next.js, Django, and AWS, while mentoring developers and managing client projects.
AI Backend Engineer - Python
Build and maintain scalable Python/FastAPI backend systems, AI agents, and payment integrations while owning features end-to-end in a fast-paced product team.
Lead Data & AI/ML Engineering & Architecture
Lead the architecture and delivery of backend and AI/ML systems, design data pipelines, and guide the team through productionization and scale using Python, FastAPI, and MLOps.
Manager, Software Engineering (Data & AI/ML)
Lead a small team to architect, build, and productionize AI/ML and backend systems, turning data science experiments into reliable services and setting engineering standards.
Lead Data Engineer, Group 42 (G42)
Lead a team to design and maintain scalable data pipelines for AI/LLM systems, including vector search, RAG, and semantic retrieval, ensuring high-performance enterprise data infrastructure.
Data Engineer / AI Knowledge Systems Specialist
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
Data Engineer (m/f/d)
Build and maintain scalable cloud data pipelines and GenAI integrations using Dagster, dbt, ClickHouse, and AWS services for analytics and machine learning products.
Staff Data Platform Engineer
Build and scale a unified data platform for a telecom-as-a-service company, integrating data lakes, warehouses, and real-time pipelines using Spark, Airflow, and Kubernetes.
Principal Data Platform Engineer
Architect and build a centralized data platform on Databricks for a FinTech startup, integrating financial data sources and enabling AI/ML workloads.
Senior Data Science Engineer I
Build and maintain healthcare data pipelines and models in Python/SQL, unifying multi-source datasets for analytics and products in a price-transparency platform.
AI/ML Engineer - Multi-Agent Systems & Data Pipelines
Build AI-native workflows and scalable multi-agent systems using Node.js, Python, and LLM frameworks like LangGraph/LangChain.
Senior AI Data Engineer - Finance Data & ML Pipelines
Builds and maintains data pipelines for LLM-powered financial applications using SQL, Python, Airflow, and cloud tools.
AI Data Engineer
Design and deploy AI/ML pipelines and GenAI apps to personalize trading experiences, predict customer churn, and automate marketing workflows using Python, SQL, and AWS SageMaker.
Sr. Data Engineer
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.