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Principal engineer defining and building next-gen AI agent platforms on Oracle Cloud Infrastructure, leading multi-team execution and hands-on design of scalable, secure, and cost-aware agentic systems.
Research and develop efficient on-device AI inference systems, optimizing models and hardware-software co-design for Qualcomm’s low-power AI accelerators.
Builds and maintains core ML infrastructure and full-stack systems that power Wayfair’s generative visuals for home visualization, using Python, FastAPI, React, and cloud platforms.
Build and scale face-recognition systems using PyTorch/TensorFlow, own end-to-end ML pipelines on AWS, and lead fairness analysis for biometric models in production.
Build and deploy multi-step AI agents using Python, LangChain/LangGraph/ADK, and GCP’s Vertex AI suite for text/code generation and tool use.
Principal engineer leading backend and ML infrastructure at a Series C conversational AI company, designing real-time data pipelines, scaling GPU fleets, and optimizing inference costs for enterprise speech/NLP systems.
About * Who we are Video is 90% of the world's data. Most of it is invisible to machines. TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do —…
Build and optimize the production serving stack for Jockey Core, TwelveLabs’ reasoning LLM that powers agentic video understanding across millions of hours of content.
Build and deploy AI agents and LLM-powered systems for public-safety use cases, orchestrating workflows with LangGraph/AutoGen and containerizing models in Docker/Kubernetes.
Build and test lightweight AI models for video analytics using PyTorch/TensorFlow, then convert them for edge deployment and benchmark performance on target hardware.
AI Systems Engineer- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Design and scale Kubernetes-native environments for distributed robotics AI workloads, including simulation, synthetic data generation, and inference using NVIDIA frameworks like OSMO and Isaac Sim.
The application window is expected to close on: 08/15/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Applications are accepted until August…
Design and deploy large-scale AI/ML systems, including LLMs and generative AI, for Amazon’s customer service platform, focusing on scalable pipelines, model serving, and governance.
Build and lead the Edge AI ML platform that trains, optimizes, and deploys large generative models on devices and in the cloud using PyTorch, TensorFlow, and Kubernetes.
Builds and optimizes high-performance vector search systems for Amazon OpenSearch, focusing on ANN algorithms, GPU acceleration, and billion-scale datasets.
Designs and debugs FPGA firmware for high-speed RF/wireless systems, including DSP, JESD204C, and 100G Ethernet, using VHDL/Verilog and Python/C/C++.
Builds and optimizes multilingual speech-to-text models for on-device use, focusing on compression, loanword handling, and evaluation across languages for a government security mission.
Build and optimize Qualcomm’s AI Runtime SDK to deploy large generative models (LLMs, LVMs) efficiently on Snapdragon chips using C/C++ and Python.
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