Staff AI Engineer

Responsibilities:
• Build multimodal pipelines integrating vision, audio, radar, text, and other signals for high accuracy AI experiences.
• Optimize and deploy models for constrained hardware, including performance benchmarking.
• Partner with cloud, mobile, QA, product, UX, and hardware teams to deliver scalable AI features.
• Act as a technical mentor and system owner, shaping strategy, reviews, and roadmap priorities.
• Create tools and frameworks for model evaluation, A/B testing, and automated performance monitoring across cloud and edge.

Day to Day:
One of Insight Global’s clients is seeking a Staff Software Engineer to join their team. This individual will be responsible for leading the design and development of advanced AI features. They will build and refine multimodal pipelines that combine vision, audio, radar, text, and other sensor inputs to deliver highly accurate, real time experiences. Much of their time is spent optimizing and deploying AI models on constrained embedded hardware, benchmarking performance, and ensuring smooth coordination between cloud and edge systems. They work closely with cloud, mobile, QA, product, UX, and hardware teams to bring AI powered capabilities from concept to production. This individual will serve as a technical mentor and system owner, guiding architectural decisions, participating in reviews, and help shape long term strategy and roadmap priorities. They will also develop tools and frameworks that support model evaluation, A/B testing, and automated monitoring across cloud and edge environments, ensuring that deployed systems remain reliable, efficient, and continuously improving.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• 5-8 years of experience
• Solid understanding of computer vision, Video image processing,
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Experience with deep learning and computer vision methods, including CNNs, transformers, metric learning, and representation learning.
• Experience deploying models to production across cloud services and edge or embedded devices
• Bachelor’s degree in a related field

Pluses:
• Computer Vision & ML: Classification, Detection, Tracking, Recognition, LLM/VLM integration, Pose Estimation, Vector Embeddings
• Multi-modal ML and Sensor Fusion: visual, audio, radar, and text data
• Model Optimization: Post-training quantization, pruning, distillation, benchmarking on
• NPUs/DSPs/ASICs
• Media & Signal Processing: GStreamer, FFmpeg, MediaPipe, OpenCV
• Masters Degree

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.