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DeepSight AI Labs Pvt. Ltd. seeks an AI Solution Engineer for Technical Pre-Sales focused on CCTV and networking. You will demonstrate AI/VMS solutions, configure cameras, deploy pilots, and support the sales team throughout the pre-sales cycle.
You will work closely with Sales, Engineering and Customer teams to map customer requirements to AI-driven video analytics and CCTV configurations, ensuring successful POC outcomes and smooth handoffs to deployment.
DeepSight AI Labs Pvt. Ltd. is an AI and Computer Vision technology company developing advanced AI-driven Video Analytics and Video Management Solutions (VMS) for enterprise and industrial applications.
Our solutions combine Artificial Intelligence, Computer Vision, CCTV, Networking, Edge Computing and VMS technologies and are deployed across sectors including Mining, Manufacturing, Steel, Oil & Gas, Education, Telecom, Banking, Retail and Infrastructure.
We are looking for a highly motivated AI Solution Engineer – Technical Pre-Sales who can combine technical skills with customer interaction and business understanding.
This is a hands‑on, customer‑facing role involving AI solution demonstrations, CCTV and network setup, POC/pilot deployment, testing, troubleshooting and technical pre‑sales support.
The candidate will work closely with the Sales, Business Development, Engineering and Customer teams.
The primary responsibility is to understand customer requirements, demonstrate DeepSight AI/VMS solutions, configure CCTV cameras and networks, deploy the AI solution, successfully execute POCs/pilots and provide technical support throughout the pre‑sales process.
The ideal candidate should be comfortable with both technology and customers.
You should be able to:
Understand the customer problem → Design the solution → Connect the cameras → Configure the network → Deploy AI/VMS → Test the solution → Demonstrate results → Support the sales team → Convert the POC into a project.
Participate in customer meetings, technical discussions and solution presentations.
Understand customer requirements and convert them into AI/Computer Vision solutions.
Demonstrate DeepSight AI applications and VMS capabilities.
Conduct product demonstrations and technical presentations.
Prepare technical proposals, solution approaches, deployment plans and POC documents.
Identify additional AI use cases and opportunities at customer locations.
Explain technical concepts clearly to both technical and non-technical customers.
Configure and troubleshoot IP CCTV cameras and surveillance networks.
Connect cameras to DeepSight VMS/AI platform.
Understand IP addressing, subnetting, DHCP, DNS, gateway, LAN/WAN and VLAN.
Work with network switches, routers and PoE infrastructure.
Understand TCP/IP and basic network troubleshooting.
Work with RTSP/RTP camera streams.
Understand camera resolution, FPS, lens, field of view, positioning and lighting requirements.
Troubleshoot camera connectivity, streaming and network-related issues.
Knowledge of ONVIF/NVR/PTZ cameras will be an advantage.
Install and configure DeepSight AI applications and VMS.
Configure cameras and required AI analytics.
Execute customer POCs and pilot projects.
Validate AI analytics against customer requirements.
Test alerts, events, dashboards and reports.
Troubleshoot deployment and application issues.
Coordinate with the Engineering team for advanced technical issues.
Ensure successful POC completion and customer acceptance.
Perform functional and integration testing of AI applications.
Test Computer Vision and Video Analytics use cases.
Identify, document and reproduce software/application bugs.
Validate AI alerts, accuracy and system functionality.
Maintain test cases and deployment checklists.
Verify fixes and ensure production‑ready deployments.
Test solutions under different camera, network and operating conditions.
CCTV / VMS
NVR/VMS knowledge
Camera installation and connectivity
RTSP streaming
PoE and CCTV infrastructure
Camera resolution, FPS, lens and field-of-view
ONVIF knowledge is preferred
TCP/IP
DHCP / DNS
Gateway & routing basics
LAN / WAN
VLAN
Ethernet
Network switches & routers
Basic network troubleshooting
Ping / Traceroute and related tools
Basic understanding of:
Computer Vision
ANPR
Face Recognition
Fire & Smoke Detection
Behaviour Analytics
Video Analytics
Knowledge of Python, OpenCV, TensorFlow, PyTorch, YOLO or other AI frameworks will be an advantage.
Candidates with experience in any of the following areas are preferred:
Networking
VMS / NVR
AI / Computer Vision
Software Testing / QA
Technical Support
System Integration
Technical Pre-Sales
Enterprise Customer Support
Freshers/Interns with strong technical fundamentals and a passion for AI, networking and technology are also encouraged to apply.
Strong ownership and responsibility.
Excellent troubleshooting and problem-solving ability.
Willingness to work directly with customers.
Fast learner with the ability to learn new technologies quickly.
Strong communication and presentation skills.
Ability to explain technology in simple business terms.
Hands‑on approach rather than purely theoretical knowledge.
Never‑give‑up attitude.
Ability to work independently and as part of a team.
Willingness to travel to customer/project locations.
Entrepreneurial mindset and interest in building real‑world technology solutions.
Successful execution of customer POCs and pilots.
CCTV camera and network configuration.
DeepSight AI/VMS installation and configuration.
AI application testing and validation.
Customer demonstrations and technical presentations.
First‑level technical troubleshooting.
Technical support to Sales/Business Development.
Preparation of technical documentation and deployment reports.
Coordination between Customer, Sales and Engineering teams.
Supporting conversion of successful POCs into commercial deployments.
Work on cutting‑edge AI, Computer Vision, Video Analytics and VMS technologies.
Exposure to real‑world enterprise and industrial AI deployments.
Hands‑on experience with CCTV, Networking, Edge AI, Cloud and Server technologies.
Direct customer and enterprise exposure.
Opportunity to participate in large‑scale AI deployments.
High visibility within the organization.
Exposure to both technology and business development.
Opportunity to work closely with Engineering, Sales and Leadership teams.
Fast career growth based on performance and capability.
Opportunity to grow into roles such as AI Solution Architect, Technical Pre‑Sales Lead, Solution Lead or Technology/Business Leadership.