AI Engineer

Jobgether; Netherlands; In loco; EUR 90.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity package described as generous

Opportunity to shape a category-defin

Descrizione del lavoro

JOBGETHER is seeking an experienced AI Engineer to build and deploy production-grade AI systems for heavy industries, including utilities and manufacturing. You will work on agentic AI, multimodal ML, and full-stack development to transform industrial operations.

You will handle real-world data from sensors, machines, and systems to drive efficiency, reliability, and informed decision-making in a fast-paced environment.

Competenze

• Engineering experience in AI/ML for industrial or real-world systems.
• Strong background in Python and TypeScript for backend and frontend development.
• Hands-on experience with production-oriented technologies such as FastAPI, PostgreSQL, OpenCV.

Mansioni

• Develop and deploy agentic AI systems, including orchestration, tool use, state management, and human-in-the-loop workflows.
• Build agent runtimes and orchestration frameworks for specialized agents in vision quality, maintenance, and operations planning.
• Design context assembly systems using industrial ontologies and memory, including tool dispatch and tracing.
• Develop multimodal data pipelines combining video processing, CV, and structured operational data.
• Implement computer vision capabilities such as object detection and segmentation using YOLO and OpenCV.
• Process industrial sensor data including RTSP video, time-series telemetry, and PLC/OPC-UA streams.
• Develop memory systems for trace storage, playbooks, and reusable failure-pattern libraries.
• Build dashboards, alerting workflows, replanning tools, and audit trails.
• Integrate with ERP, CMMS, WMS, historians, and PLC systems; ensure data normalization.
• Deliver end-to-end solutions from data ingestion to model serving and frontend interfaces.
• Ensure production systems meet reliability, latency, scalability, and cost objectives.

Descrizione del lavoro

We are looking for an experienced AI Engineer to build and deploy production-grade AI systems that address complex challenges across heavy industries, including utilities, manufacturing, logistics, and energy. You will play a key role in developing a next-generation industrial operating system, taking innovative products from concept to production. The role combines agentic AI, multimodal machine learning, industrial data integration, and full-stack engineering. You will work with real-world data from sensors, machines, and operational systems to deliver intelligent solutions that improve efficiency, reliability, and decision-making. This is a high-ownership opportunity in a fast-moving, zero-to-one product environment. You will help establish the foundations of an ambitious platform designed to transform industrial operations.

Accountabilities

• Develop and deploy agentic AI systems, including orchestration, tool use, state management, and human-in-the-loop workflows.
• Build agent runtimes and orchestration frameworks supporting specialized agents for vision quality, predictive maintenance, and operations planning.
• Design context assembly systems using industrial ontologies and memory, including tool dispatch, approval gates, tracing, and cost controls.
• Develop multimodal data pipelines combining video processing, computer vision, and structured operational data.
• Implement computer vision capabilities such as object detection, segmentation, and action recognition, using technologies such as YOLO and OpenCV.
• Process industrial sensor data, including RTSP video, time-series telemetry, vibration, thermal data, and PLC/OPC-UA streams.
• Build signal-processing and sensor-correlation workflows, including FFT feature extraction and cross-sensor analysis.
• Design and contribute to industrial ontologies and knowledge graphs representing plants, assets, sensors, work orders, materials, and maintenance histories.
• Develop memory systems for trace storage, playbooks, asset templates, and reusable failure-pattern libraries.
• Build operational interfaces such as dashboards, evidence-based alerting workflows, replanning tools, and audit trails.
• Develop integration connectors for ERP, CMMS, WMS, industrial historians, and PLC systems, ensuring data normalization and consistent schema mapping.
• Deliver end-to-end solutions spanning data ingestion, model serving, backend services, and frontend interfaces.
• Ensure production systems meet demanding requirements for reliability, latency, scalability, cost efficiency, and operational usability.

Requirements

• At least 3 years of experience building and shipping production AI systems; 5+ years preferred.
• Proven experience developing agentic AI products and production systems, including orchestration, tool integration, state management, and human oversight.
• Experience as an early-stage engineer at a venture-backed startup, contributing to products and systems from zero to one.
• Strong background in AI and machine learning applied to physical-world systems.
• Experience working with large-scale industrial data, such as video streams, IoT devices, sensor telemetry, vibration, thermal data, or PLC/OPC-UA systems.
• Hands-on experience building multimodal AI pipelines that combine computer vision with structured operational data.
• Understanding of data ingestion, normalization, temporal alignment, data quality, and ground-truth challenges in real-world environments.
• Experience with industrial ontologies, knowledge graphs, or structured context systems based on asset hierarchies and operational processes.
• Experience integrating AI systems with enterprise and industrial platforms such as ERP, CMMS, WMS, historians, or PLC systems.
• Strong software engineering skills across backend and frontend development, including Python and TypeScript.
• Experience with production-oriented technologies such as FastAPI, PostgreSQL, React Native, and OpenCV.
• A practical understanding of system reliability, failure modes, latency, cost management, and human interaction.
• Ability to work autonomously, take ownership, and deliver in a fast-paced, high-intensity environment.
• Strong motivation to solve complex industrial challenges through hands-on engineering and applied AI.

Benefits

• Opportunity to help build a category-defining industrial operating system with the potential to shape manufacturing plants and industrial facilities over the next 10-20 years.
• Exceptional employee equity package, with an equity pool described as twice the industry standard and an estimated value of more than $200,000 from day one.
• Opportunity to work alongside an experienced team with backgrounds in enterprise technology, industrial robotics, autonomous driving, and academic research.
• Exposure to complex, real-world industrial challenges and large volumes of underutilized sensor data.
• Direct impact on operational efficiency, predictive maintenance, industrial reliability, and decision-making across major industries.
• Opportunity to contribute to a zero-to-one product in an ambitious, innovation-driven environment.

We appreciate your interest and wish you the best!