Senior Video Systems & AI Engineer - Technical Lead

Senior Video Systems & AI Engineer – Technical Lead

Job Openings Senior Video Systems & AI Engineer – Technical Lead

About the job Senior Video Systems & AI Engineer – Technical Lead

WebCreek is looking for a Senior Video Systems & AI Developer to drive the development of a mission-critical video management and AI-powered video analytics platform.

The ideal candidate has extensive hands-on experience with video management systems (VMS), real-time video processing, computer vision, and vision-language models (VLMs). This role involves developing scalable solutions for camera integration, video recording, storage, playback, and intelligent video analytics, while providing technical guidance to an in-house developer.

This position is well suited for a senior developer who combines strong software development expertise with technical leadership, enjoys solving complex video processing challenges, and can take ownership of architectural decisions and production-ready solutions.

Lead the technical development of video management and AI-powered analytics capabilities, providing architectural guidance and mentoring an in-house engineer.

Design, develop, and maintain video management services supporting camera ingestion, recording, storage, playback, and live streaming.

Build and optimize video processing pipelines using GStreamer, FFmpeg, and protocols such as RTSP/RTP and ONVIF.

Develop solutions supporting H.264/H.265 and MJPEG video formats across multiple camera types and integrations.

Design scalable video storage architectures, including continuous and event-based recording, retention policies, and object storage using Azure Blob Storage or Amazon S3.

Develop and integrate computer vision capabilities, including object detection, tracking, and GPU-accelerated inference.

Integrate vision-language models (VLMs) and large language models (LLMs) into video analytics workflows, including tool calling, structured outputs, and model evaluation.

Develop and maintain backend services using Node.js, GraphQL, MySQL, Redis, and message-driven technologies such as MQTT.

Contribute to frontend development using Vue 3 or React to support video management and operator-facing interfaces.

Design and troubleshoot containerized services using Docker, Kubernetes, and Helm.

Write technical design documents, make architectural decisions, review code, and guide engineering implementation.

Develop automated unit and end-to-end tests, maintain CI workflows using GitHub Actions, and follow disciplined Git and pull-request practices.

Use AI coding agents to support development efficiency while carefully reviewing and validating generated code.

Collaborate with Engineering and product stakeholders to deliver reliable, scalable, and maintainable video solutions.

7+ years of professional software development experience, including experience delivering and supporting at least one production software product.

3+ years of hands-on experience building video management systems (VMS), network video recorders (NVR), or video analytics products in production.

Strong experience with video streaming protocols and standards, including RTSP/RTP, ONVIF Profile S, H.264/H.265, and MJPEG.

Strong programming experience with Rust, C++, or Go, with Rust preferred for media services.

Experience designing scalable video recording and storage solutions, including continuous/event recording, retention policies, and cloud object storage.

Hands-on experience with computer vision, object detection, tracking, and GPU inference using ONNX Runtime, TensorRT, or similar technologies.

Experience working with vision-language models and LLMs, including tool calling, structured outputs, local open models such as Qwen-VL, hosted APIs, and evaluation datasets.

Strong backend development experience with Node.js and GraphQL APIs; TypeScript is a plus.

Working proficiency with Vue 3 or React.

Experience with MySQL, Redis, and message-driven or publish/subscribe systems such as MQTT.

Experience with Docker, Kubernetes, Helm, and troubleshooting services in containerized environments.

Strong Linux and networking fundamentals, including TCP/UDP, TLS, WebSockets, and packet capture analysis.

Experience writing automated unit and end-to-end tests and working with GitHub Actions, Git, and pull-request workflows.

Experience using AI coding agents, such as Claude Code, as part of daily development work, with the ability to review and correct generated code.

Demonstrated ability to lead a small engineering team or technical workstream, make architectural decisions, and mentor developers.

Strong problem-solving skills, technical ownership, and the ability to independently deliver solutions from design through production.

Professional proficiency in spoken and written English.

A full-time, fully remote position with a growing international company.

The opportunity to work on a mission-critical communication platform with real-world applications.

Hands-on experience developing scalable real-time audio and networked communication solutions.

Opportunities to collaborate with experienced engineers on complex software, networking, and embedded systems challenges.

A collaborative remote working environment with an international engineering team.

Location: Remote LaTam

WebCreek is an equal opportunity employer. We believe our strength comes from our people and welcome all qualified applicants regardless of race, religion, color, gender, age, or disability. If you have the skills and the passion for tech, we want you on our team.