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Senior Applied AI Engineer (Remote)
Build and deploy AI-driven cybersecurity analytics and threat-detection models for a SaaS platform, using Python, LLMs, and MLOps to turn large-scale security data into actionable insights.
Principal Data Scientist
Lead the AI-native personalization platform for a streaming service, designing systems that power Search, Recommendations, and Notifications for millions of users.
Full Stack Developer (AI-Enabled)
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js, Python, Java/Spring Boot) and cloud platforms (AWS/Azure/GCP), while leveraging AI coding assistants daily.
Senior Associate Software Engineer
Build and maintain full-stack enterprise apps using React, FastAPI, Python, and AWS, integrating AI/ML features and DevOps practices for a biotech company.
Senior Data Engineer
Build and optimize scalable data pipelines and governed lakehouse platforms using Databricks, Spark, and AWS to support analytics and AI in a regulated biotech environment.
Machine Learning Engineer (T25)
Build and refine AI models for eBay’s ecommerce platform, focusing on LLMs, retrieval, ranking, and reinforcement learning to improve search, recommendations, and user experience.
Generative AI Engineer
Builds generative-AI copilots and retrieval systems that let users query satellite imagery and geospatial data using LLMs, RAG, and agent workflows for environmental monitoring and decision support.
Senior AI Engineer
Builds AI-driven tools to automate and secure developer workflows (e.g., AI agents for code review, RAG for knowledge retrieval) while embedding security best practices into software development lifecycle (SDLC) at a healthcare fintech company.
Expert Data Engineer
Design and build AI-ready data pipelines and products that power retrieval-augmented AI systems, ensuring data quality, governance, and secure access for AI models.
Lead Software Engineer - (Python/Java/C#/C++)-AI Foundry's Data Foundations
Lead the design of scalable document ingestion and vectorization pipelines for financial data, enabling AI-powered analytics and retrieval in a cloud-native environment.
Principal Machine Learning Engineer
Principal ML Engineer designs, builds, and deploys production-grade AI systems using LLMs and deep learning, integrating agent workflows across GCP, AWS, and Azure.
AI / ML Engineer
Design and build AI-driven applications using generative models, deep learning, and cloud/on-prem pipelines. Integrate LLMs, RAG, and vector databases to create production-ready solutions.
Staff Machine Learning Engineer
Staff ML Engineer at Zendesk builds and scales AI-powered search solutions (e.g., RAG bots) for customer experience platforms, optimizing retrieval, ranking, and hybrid search (vector + keyword) using LLMs, PyTorch, and cloud infrastructure.
Full-Stack AI Engineer
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Principal AI Governance Architect
Design and implement AI governance controls, observability, and audit patterns for Huron’s AI systems, ensuring safe, compliant, and measurable outputs across cloud platforms.
Lead Software Engineer - AI Application
Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.