Agentic AI Engineer - Vision AI

XenonStack; Mohali; On-site; INR 2,000,000 - 3,600,000; Full time

Benefits offered by this job

Cab facility for women employees

Job summary

XenonStack is seeking an Agentic AI Engineer – Vision AI with 2–5 years of experience to design Vision AI-powered agents that perceive, reason, and act for enterprise use cases like public safety, manufacturing, and healthcare.

You will bridge AI model development with agentic orchestration, deploying solutions on cloud and edge devices, while ensuring reliability, performance, and responsible AI practices across implementations.

Qualifications

• 2–5 years of experience in computer vision, ML engineering, or applied AI.
• Strong knowledge of deep learning frameworks (PyTorch, TensorFlow, OpenCV).
• Experience with object detection/recognition models (YOLO, Faster R-CNN, DETR, SAM).
• Familiarity with multimodal AI (vision + LLMs).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and edge AI deployments.
• Knowledge of inference optimization (ONNX, TensorRT, OpenVINO).
• Proficiency in Python, with solid engineering practices (Git, CI/CD).

Responsibilities

• Agentic Vision AI Development
• Design and implement Vision AI agents that combine perception models with reasoning and action.
• Integrate LLMs and multimodal models with computer vision systems for richer decision-making.
• Build dynamic workflows for Vision AI agents to adapt to evolving environments.
• Train and fine-tune deep learning models for object detection, tracking, activity recognition, anomaly detection.
• Optimize models for real-time inference on cloud and edge devices.
• Implement model compression, quantization, and deployment pipelines.
• Deployment & Orchestration
• Deploy Vision AI agents on edge devices, cameras, and cloud-native platforms.
• 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
• Ensure Vision AI agents adhere to safety, fairness, and compliance standards.
• Build evaluation pipelines for accuracy, bias, and real-world robustness.
• Document best practices and create reproducible workflows for enterprise customers.

Skills

computer vision

deep learning

ML engineering

applied AI

Tools

PyTorch

TensorFlow

OpenCV

YOLO

Faster R-CNN

DETR

SAM

AWS

Azure

GCP

ONNX

TensorRT

OpenVINO

Python

Git

CI/CD

Job description

XenonStack is the fastest-growingData and AI Foundry for Agentic Systems, enabling people and organizations to gainreal-time and intelligent business insights.

We deliver innovation through:

Akira AI – Building Agentic Systems for AI Agents

NexaStack AI – Inference AI Infrastructure for Agentic Systems

Our mission is toaccelerate the world’s transition to AI + Human Intelligenceby creating intelligent agents that seamlessly combine reasoning, perception, and action.

THE OPPORTUNITY

We are looking for anAgentic AI Engineer – Vision AIwith2–5 years of experiencein computer vision, deep learning, and AI systems engineering. You will design and deployVision AI-powered agentscapable of perception, understanding, and decision-making for enterprise use cases such aspublic safety, surveillance, manufacturing, and healthcare.

This role bridgesAI model developmentwithagentic orchestration, ensuring Vision AI is not just a model but anautonomous, reliable agentdelivering measurable impact.

JOB ROLES AND RESPONSIBILITIES

Agentic Vision AI Development

Design and implementVision AI agentsthat combine perception models with reasoning and action.

IntegrateLLMs and multimodal modelswith computer vision systems for richer decision-making.

Builddynamic workflowsfor Vision AI agents to adapt to evolving environments.

Train and fine-tune deep learning models forobject detection, tracking, activity recognition, anomaly detection.

Optimize models forreal-time inferenceon cloud and edge devices.

Implement model compression, quantization, and deployment pipelines.

Deployment & Orchestration

Deploy Vision AI agents onedge devices, cameras, and cloud-native platforms.

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

Ensure Vision AI agents adhere tosafety, fairness, and compliancestandards.

Build evaluation pipelines for accuracy, bias, and real-world robustness.

Document best practices and create reproducible workflows for enterprise customers.

SKILLS REQUIREMENTS

Technical Skills:

2–5 years of experience incomputer vision, ML engineering, or applied AI.

Strong knowledge ofdeep learning frameworks(PyTorch, TensorFlow, OpenCV).

Experience withobject detection/recognition models(YOLO, Faster R-CNN, DETR, SAM).

Familiarity withmultimodal AI(vision + LLMs).

Hands-on experience withcloud platforms (AWS, Azure, GCP)andedge AI deployments.

Knowledge ofinference optimization(ONNX, TensorRT, OpenVINO).

Proficiency inPython, with solid engineering practices (Git, CI/CD).

Professional Attributes:

Strong problem-solving skills and ability to translate business needs into AI solutions.

Collaboration mindset — able to work across AI, platform, and product teams.

Curiosity for emergingagentic AI frameworks(LangGraph, CrewAI, MCP).

Passion for buildingreal-world AI systems that matter.

CAREER GROWTH AND BENEFITS

Certifications and advanced training inVision AI, MLOps, and Agentic AI.

Opportunity to work onenterprise-grade Vision AI deployments.

2) Recognition & Rewards

Performance-based incentives and recognition for impactful agentic solutions.

Career progression towardAI ArchitectorVision AI Product Leadroles.

Comprehensive health insurance and wellness support.

Additional allowances for project-based roles andcab facility for women employees.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe inshaping the future of intelligent systems. You’re not just joining a company — you’re helping shape it, fromidea to production.

We foster aculture of cultivation, built on bold, human-centric leadership principles. We valuedeep work, simplicity, and adoptionin every solution we deliver, while holding ourselves to the highest standards of care and craftsmanship.

Our Cultural Values

Agency– Be self-directed. Take initiative, solve problems creatively, and drive impact.

Taste– Sweat the details. Build with precision, care, and a high bar for excellence.

Ownership– Commit fully to our mission and goals, taking responsibility for both successes and failures.

Mastery– Relentlessly pursue learning and growth, both as individuals and as teams.

Impatience– Move fast and embrace progress as the default.

Customer Obsession– Put customers at the heart of everything, striving to deeply understand and exceed their expectations.

Our Product Philosophy

Obsessed with Adoption– Making AI agents enterprise-ready and accessible.

Obsessed with Simplicity– Turning complex challenges into intuitive, reliable solutions.

Be part of our mission toreimagine perception, intelligence, and decision-making with Agentic AI— and help accelerate the world’s transition toAI + Human Intelligence.