Agentic AI Engineer - Vision AI
ABOUT XENONSTACK<\/b>
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XenonStack is the fastest\-growing <\/span>Data and AI Foundry for Agentic Systems<\/b>, enabling people and organizations to gain <\/span>real\-time and intelligent business insights<\/b>. We deliver innovation through: Akira AI<\/span><\/a><\/b> <\/span>\u2013 Building Agentic Systems for AI Agents XenonStack Vision AI<\/span><\/a><\/b> <\/span>\u2013 Vision AI Platform NexaStack AI<\/span><\/a><\/b> <\/span>\u2013 Inference AI Infrastructure for Agentic Systems Our mission is to <\/span>accelerate the world\u2019s transition to AI + Human Intelligence<\/b> <\/span>by creating intelligent agents that seamlessly combine reasoning, perception, and action. We are looking for an <\/span>Agentic AI Engineer \u2013 Vision AI<\/b> <\/span>with <\/span>2\u20135 years of experience<\/b> <\/span>in computer vision, deep learning, and AI systems engineering. You will design and deploy <\/span>Vision AI\-powered agents<\/b> <\/span>capable of perception, understanding, and decision\-making for enterprise use cases such as <\/span>public safety, surveillance, manufacturing, and healthcare<\/b>. This role bridges <\/span>AI model development<\/b> <\/span>with <\/span>agentic orchestration<\/b>, ensuring Vision AI is not just a model but an <\/span>autonomous, reliable agent<\/b> <\/span>delivering measurable impact. Agentic Vision AI Development<\/b> Design and implement <\/span>Vision AI agents<\/b> <\/span>that combine perception models with reasoning and action. Integrate <\/span>LLMs and multimodal models<\/b> <\/span>with computer vision systems for richer decision\-making. Build <\/span>dynamic workflows<\/b> <\/span>for Vision AI agents to adapt to evolving environments. Model Training & Optimization<\/b> Train and fine\-tune deep learning models for <\/span>object detection, tracking, activity recognition, anomaly detection<\/b>. Optimize models for <\/span>real\-time inference<\/b> <\/span>on cloud and edge devices. Implement model compression, quantization, and deployment pipelines. Deployment & Orchestration<\/b> Deploy Vision AI agents on <\/span>edge devices, cameras, and cloud\-native platforms<\/b>. Collaborate with Platform and AgentOps engineers to ensure reliability, scalability, and observability. Integrate Vision AI systems with enterprise data streams and workflows. Responsible AI & Quality<\/b> Ensure Vision AI agents adhere to <\/span>safety, fairness, and compliance<\/b> <\/span>standards. Build evaluation pipelines for accuracy, bias, and real\-world robustness. Document best practices and create reproducible workflows for enterprise customers. Technical Skills:<\/b> 2\u20135 years of experience in <\/span>computer vision, ML engineering, or applied AI<\/b>. Strong knowledge of <\/span>deep learning frameworks<\/b> <\/span>(PyTorch, TensorFlow, OpenCV). Experience with <\/span>object detection/recognition models<\/b> <\/span>(YOLO, Faster R\-CNN, DETR, SAM). Familiarity with <\/span>multimodal AI<\/b> <\/span>(vision + LLMs). Hands\-on experience with <\/span>cloud platforms (AWS, Azure, GCP)<\/b> <\/span>and <\/span>edge AI deployments<\/b>. Knowledge of <\/span>inference optimization<\/b> <\/span>(ONNX, TensorRT, OpenVINO). Proficiency in <\/span>Python<\/b>, with solid engineering practices (Git, CI/CD). Professional Attributes:<\/b> Strong problem\-solving skills and ability to translate business needs into AI solutions. Collaboration mindset \u2014 able to work across AI, platform, and product teams. Curiosity for emerging <\/span>agentic AI frameworks<\/b> <\/span>(LangGraph, CrewAI, MCP). Passion for building <\/span>real\-world AI systems that matter<\/b>. 1) Continuous Learning & Growth<\/b> Certifications and advanced training in <\/span>Vision AI, MLOps, and Agentic AI<\/b>. Opportunity to work on <\/span>enterprise\-grade Vision AI deployments<\/b>. 2) Recognition & Rewards<\/b> Performance\-based incentives and recognition for impactful agentic solutions. Career progression toward <\/span>AI Architect<\/b> <\/span>or <\/span>Vision AI Product Lead<\/b> <\/span>roles. 3) Work Benefits & Well\-Being<\/b> Comprehensive health insurance and wellness support. Additional allowances for project\-based roles and <\/span>cab facility for women employees<\/b>. At XenonStack, we believe in <\/span>shaping the future of intelligent systems<\/b>. You\u2019re not just joining a company \u2014 you\u2019re helping shape it, from <\/span>idea to production<\/b>. We foster a <\/span>culture of cultivation<\/b>, built on bold, human\-centric leadership principles. We value <\/span>deep work, simplicity, and adoption<\/b> <\/span>in every solution we deliver, while holding ourselves to the highest standards of care and craftsmanship. Agency<\/b> <\/span>\u2013 Be self\-directed. Take initiative, solve problems creatively, and drive impact. Taste<\/b> <\/span>\u2013 Sweat the details. Build with precision, care, and a high bar for excellence. Ownership<\/b> <\/span>\u2013 Commit fully to our mission and goals, taking responsibility for both successes and failures. Mastery<\/b> <\/span>\u2013 Relentlessly pursue learning and growth, both as individuals and as teams. Impatience<\/b> <\/span>\u2013 Move fast and embrace progress as the default. Customer Obsession<\/b> <\/span>\u2013 Put customers at the heart of everything, striving to deeply understand and exceed their expectations. Obsessed with Adoption<\/b> <\/span>\u2013 Making AI agents enterprise\-ready and accessible. Obsessed with Simplicity<\/b> <\/span>\u2013 Turning complex challenges into intuitive, reliable solutions. Be part of our mission to <\/span>reimagine perception, intelligence, and decision\-making with Agentic AI<\/b> <\/span>\u2014 and help accelerate the world\u2019s transition to <\/span>AI + Human Intelligence<\/b>.
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<\/span><\/p>THE OPPORTUNITY<\/b>
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<\/span><\/p>JOB ROLES AND RESPONSIBILITIES<\/b>
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<\/p><\/li><\/ul>SKILLS REQUIREMENTS<\/b>
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<\/p><\/li><\/ul>CAREER GROWTH AND BENEFITS<\/b>
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<\/p><\/li><\/ul>XENONSTACK CULTURE \u2013 JOIN US & MAKE AN IMPACT!<\/b>
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<\/p>Our Cultural Values<\/b>
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<\/p><\/li><\/ul>Our Product Philosophy<\/b>
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