Applied AI Engineer – Remote (Texas/Zurich) | $200K+ Salary & Equity Insights

📍 Location: us

🏷 Type: Not specified

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Job Overview

This role is for a Senior Applied AI Engineer focused on building production-grade agentic AI systems that operate on real-world industrial data. The company, Serious AI, develops advanced automation and intelligence platforms for sectors like manufacturing, logistics, utilities, and oil & gas. The ideal candidate is a 5+ years experienced engineer who has taken AI systems from concept to production, especially in environments involving computer vision, robotics, or sensor-driven systems. This position is highly suited for engineers who thrive in building end-to-end AI infrastructure that directly impacts physical operations and enterprise-scale decision-making.

🌍 Work Eligibility & Location

This is a globally accessible Remote-first role, but preference is given to candidates based in Texas or Zurich due to collaboration overlap. Since visa sponsorship is not available, applicants must already have valid work authorization in their region. The role still attracts global talent due to its high-impact AI engineering scope and enterprise-level systems exposure.

💰 Salary Intelligence

This compensation package is highly competitive, especially when factoring in the equity upside (1–1.5%). The total compensation structure positions this role above standard AI engineering market benchmarks. Engineers working in production AI systems with industrial applications will find this offer aligned with top-tier startup compensation in deep-tech and enterprise AI sectors.

📊 Role Breakdown

This position focuses on building next-generation agentic AI systems that operate in industrial environments. You will work with Python, TypeScript, FastAPI, OpenCV, PostgreSQL, and React Native to design full-stack AI infrastructure. A key responsibility is developing systems that process video streams, IoT sensors, telemetry data, and industrial time-series signals in real time.

A major part of the role involves designing AI agent orchestration frameworks where multiple models interact, reason, and execute tasks autonomously. You will build context-aware memory systems, traceability layers, and human-in-the-loop approval workflows to ensure safe deployment in enterprise environments.

Another critical area is handling multimodal AI pipelines combining computer vision (YOLO, segmentation models), signal processing (FFT analysis), and structured industrial datasets. Expect to work on data normalization, temporal alignment, and schema mapping across ERP, CMMS, and sensor systems.

You will also contribute to building industrial knowledge graphs and ontologies that map assets, machines, and operational workflows. This includes integrating AI outputs into dashboards, alerting systems, and operational decision engines used by large industrial clients.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly selective role targeting engineers with deep experience in production AI systems. The complexity is elevated due to its focus on real-world industrial environments, where data is noisy, multi-modal, and time-sensitive. Candidates with experience in robotics or industrial AI will have a strong advantage.

🚀 Career Impact

This role offers significant long-term career leverage by positioning you at the intersection of AI systems engineering and industrial automation. Engineers will gain exposure to next-generation agent architectures and enterprise-scale AI deployment, making this a strong stepping stone toward leadership roles in AI infrastructure and applied research.

📋 Key Responsibilities

You will design and deploy AI agent systems that operate across industrial environments, integrating computer vision pipelines and sensor-driven analytics. Core responsibilities include building scalable backend systems using Python and FastAPI, developing orchestration layers for autonomous agents, and implementing real-time data processing pipelines for video, IoT, and telemetry streams.

You will also engineer knowledge graphs and structured ontologies that map industrial assets and workflows. A key responsibility is ensuring robust data ingestion, normalization, and temporal alignment across multiple enterprise systems. Additionally, you will build dashboards and operational interfaces using React Native to support human-in-the-loop decision-making and enterprise workflows.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This is a high-urgency hiring cycle with strong demand for engineers capable of building production-grade AI agents. Competition is intense due to the combination of high compensation, equity upside, and technical depth. Candidates with relevant experience should apply quickly, as roles involving industrial AI systems tend to close fast once strong profiles are identified.

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✅ Job Source & Verification

This job post is derived from an active hiring pipeline managed through Aurora in collaboration with Serious AI. The listing reflects verified role requirements, compensation structure, and technical expectations as of the latest update. All details are aligned with current industrial AI hiring standards and senior-level engineering benchmarks in enterprise AI systems.