AI Integration Engineer

microTECH Global Limited; Greater London; Hybrid; GBP 65,000 - 110,000; Full time

Job summary

microTECH Global Limited in London is seeking an AI Integration Engineer to build production-quality Python pipelines for video processing and to bridge cutting-edge video technology with modern AI ecosystems.

You will integrate codec SDKs into AI and media frameworks, connect video processing stages to computer-vision and multimodal models, and prototype codec-aware inferences to improve accuracy, latency, and cost.

Qualifications

• Proven commercial Python experience for robust video processing pipelines.
• Solid understanding of video streams, codecs, timestamps, and keyframes.
• Experience with building and maintaining data pipelines and API integrations.

Responsibilities

• Develop production-quality Python pipelines for video processing.
• Integrate codec SDKs into AI and media frameworks.
• Connect video stages to computer-vision and multimodal AI models.
• Prototype and optimize codec-aware inference workflows.

Skills

Python

Video fundamentals

Pipeline integration

Tools

FFmpeg

GStreamer

CUDA

PyTorch

TensorRT

DeepStream

Docker

AWS

Job description

Job Title: AI Integration Engineer

Location: London, UK (Hybrid)

We are looking for a Python-focused Software Engineer to sit at the intersection of video engineering and artificial intelligence.

Working with a pioneer in advanced video compression, you will build and integrate multimodal workflows that connect cutting-edge video technologies to modern AI ecosystems.

This client would be requiring candidates to do three days on-site per week and two days working remotely.

Core Responsibilities:

• Develop production-quality Python pipelines for video processing (ingest, frame extraction, transcoding, and A/V sync).
• Integrate proprietary codec SDKs into AI and media frameworks (e.g., FFmpeg, GStreamer, NVIDIA NeMo).
• Connect video processing stages to computer-vision and multimodal AI models (for tasks like classification, embeddings, and structured output generation).
• Prototype and optimize codec-aware inference workflows to improve accuracy, latency, and cost.

Requirements:

• Strong Python: Proven commercial experience writing clean, scalable, and maintainable Python code.
• Video Fundamentals: A solid understanding of how video streams work under the hood (codecs, containers, timestamps, keyframes).
• Pipeline Integration: Confidence working across complex APIs, third-party libraries, and scalable data pipelines.

Desirables:

• Direct experience with FFmpeg or GStreamer.
• Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream).
• Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation).
• Cloud and containerization skills (AWS, Docker).

If this looks of interest, please reach out to [e-mail] for more information