> Markdown version of [/jobs/ext/529939-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/529939-forward-deployed-engineer). 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 - **Company:** 1 Micro, LLC - **Location:** United States (Remote available) - **Salary:** $150,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Data Intelligence, Python (Programming Language), AI Infrastructure, Large Language Models, Multi-Agent Systems, Model Validation, AI Platforms, Build Tools, Machine Learning Operations, Data Pipelines - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2201567f615493fc ## About the Role Do you have experience in Python?, * Able to operate independently in ambiguous, partner-facing settings with strong technical and product ownership. * Strong Python engineer with experience building and shipping production systems end to end. * Experience working with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation. * Built or maintained data pipelines, ML infrastructure, evaluation systems, or research workflows. * Strong understanding of data quality, taxonomy design, labeling workflows, and dataset curation for AI systems. * Comfortable working directly with technical partners, researchers, founders, and enterprise stakeholders. Preferred Qualifications * Background at a startup, AI infrastructure company, applied AI company, or research-focused engineering team. * Experience building systems for multi-turn agents, agent evaluation, workflow automation, or human-in-the-loop AI. * Experience designing data taxonomies, annotation systems, evaluation rubrics, or dataset quality pipelines. * Experience acting as a technical partner to external customers, research teams, or strategic enterprise accounts. * Familiarity with modern LLM tooling, agent frameworks, model evaluation stacks, and ML experimentation platforms. ## Description We're hiring a Member of Technical Staff, Forward Deployed to work directly with the world's leading AI labs and enterprises as a technical research and implementation partner. This role sits at the intersection of applied AI, ML infrastructure, data intelligence, and partner-facing product development. You'll help strategic partners define research directions, structure and curate high-quality data, implement ML and evaluation pipelines, and build the agentic systems that extend multi-turn agents and workflows in production. You should be comfortable moving between ambiguous research questions, technical architecture, hands-on engineering, and partner-facing execution. What You'll Work On * 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. * Partner with research and engineering teams to translate ambiguous AI problems into scoped technical projects and production systems. * Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms. * Build systems that help partners move from one-off AI experiments to reliable, repeatable, multi-turn agent workflows. * Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, iteration, and partner success., Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [This App Reached 10,000 Users in One Week. 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