Flowmentum, Inc. ยท 1 month ago
Agentic Systems Engineer (AI / Computer Vision / Automation)
Flowmentum, Inc. is focused on building computer-vision-driven automation and evaluation systems. The role is ideal for a hands-on computer vision or ML engineer who will work on agent-driven testing and evaluation pipelines, focusing on perception quality, system reliability, and iteration speed.
Responsibilities
Build and improve screenshot and image analysis pipelines
Develop classifiers and embeddings for visual diffing and defect detection
Debug perception failures across devices, simulators, and automation runs
Improve robustness of image capture, alignment, and preprocessing
Build workflows that drive real device interactions (VR/MR/mobile)
Debug agent trajectories, action failures, and perception-to-action loops
Improve reliability of visual grounding, gesture/touch inference, and state detection
Build evaluation pipelines to score correctness, regressions, and anomalies
Tune ML models and heuristics used in build-to-diff and test generation workflows
Work across Python, CV libraries, ML frameworks, and distributed systems
Deep debugging across CV pipelines, ML models, and distributed execution
Improve observability, logging, and failure triage
Design modular components that evolve into a unified agent platform
Qualification
Required
Strong Python engineering (tooling, automation, async/debugging)
Applied computer vision experience: OpenCV or similar
Image preprocessing, diffing, detection, classification, embeddings
ML engineering experience: PyTorch / TensorFlow / Keras
Model evaluation, error analysis, and iteration
Comfort debugging across messy, distributed systems
Ability to reason from incomplete data and ambiguous failures
Preferred
Experience with device perception, robotics, XR, or simulation
Large-scale data pipelines or HPC / GPU-accelerated workflows
LLM or agentic tooling experience (prompting, orchestration, evaluation)
AWS, Docker, CI/CD, telemetry systems
Company
Flowmentum, Inc.
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Funding
Current Stage
Early StageCompany data provided by crunchbase