> Markdown version of [/jobs/ext/2791413-forward-deployed-engineer-remote](https://www.wearedevelopers.com/jobs/ext/2791413-forward-deployed-engineer-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer | Remote - **Company:** The Crossing - **Location:** United States (Remote available) - **Salary:** $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Python (Programming Language), Large Language Models, Multi-Agent Systems, Model Validation, Machine Learning Operations, Data Pipelines - **Published:** September 8, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pigmeor4pj ## About the Role * Have strong relevant experience in Python engineering with a proven track record of building and shipping production systems end to end. * Have experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation. * Have built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows. * Possess a strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems. * Be comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders. ## Description * Work directly with leading AI labs and enterprise partners to define research goals, technical requirements, and project direction. * Build large-scale data intelligence systems for collecting, organizing, evaluating, and improving training and evaluation data. * Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement. * Design data taxonomies, labeling systems, and quality frameworks that improve dataset structure, model performance, and research outcomes. * Develop LLM applications, including multi-agent systems, tool-using agents, RAG workflows, evaluation harnesses, and human-in-the-loop systems. * Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)