[Remote] Agentic Systems Engineer (AI / Computer Vision / Automation)

Note: The job is a remote job and is open to candidates in USA. Flowmentum, Inc. is seeking Senior Agentic Systems Engineers to help build and scale AI-driven testing, evaluation, and automation systems. The role involves working on agentic testing, device interaction, evaluation pipelines, and visual bug detection, requiring strong fundamentals and the ability to thrive in ambiguous environments. Responsibilities • Build, debug, and optimize workflows that drive device interactions (VR, MR wearables, mobile, etc.) • Troubleshoot issues across Ravelin, subagents, orchestrators, and trajectory execution • Improve reliability of agentic actions, image capture, gesture detection, and hover/touch interactions • Work with context ingestion pipelines, summarizers, and LLM-driven generation systems • Tune prompts, debug hallucinations or token issues, and refine output quality • Integrate external data sources (Figma, PRDs, test strategies, RMTs) into functional test artifacts • Build and extend evaluation pipelines, diff classifiers, and defect analyzers • Work with visual analyzers, screenshot pipelines, embeddings, and classifier logic • Support Build-to-Diff → Testcase automation and related backend workflows • Deep debugging across Python, CV pipelines, UI interaction frameworks, LLM toolchains, and distributed execution systems • Collaborating with teams to triage failures, improve observability, and tune system performance • Designing modular components that will transition cleanly into company unified agent platform Skills • Software Engineering fundamentals with breadth across ML, CV, and systems engineering • Strong Python engineering (async, SDK/tooling development, automation frameworks) • Computer vision: OpenCV, image preprocessing, detection/classification, embeddings, screenshot analysis • ML engineering: PyTorch/TensorFlow/Keras, model debugging, evaluation pipeline work • API + pipeline experience (GraphQL, SQL/Presto/Hive, telemetry systems) • Strong debugging instincts — able to isolate issues across distributed / multi-agent systems • Ability to operate independently inside shifting requirements • Comfort working with partial specifications, experimental systems, and high ambiguity • Strong communication: able to summarize findings clearly for PMs and technical partners • Ownership mindset — looks for problems, not just tasks • Familiarity with agentic systems, LLM tools, or orchestration frameworks • Experience with XR/VR/MR devices or simulators • Experience building MCP tools or plugin-like agent integrations • Experience with automation frameworks (e.g., Ravelin, Haiku, Sandcastle) • AWS/Docker/Git, familiarity with large-scale data or HPC pipelines • Ability to build prototypes quickly under ambiguous requirements Company Overview • Experienced well connected Tech Recruiters, connecting top talent in emerging and cutting-edge technology areas. It was founded in 2015, and is headquartered in Cheyene, Wyoming, US, with a workforce of 2-10 employees. Its website is Apply tot his job