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AI Engineer at Underground Administration LLC. Remote Location: Remote, United States. Founding AI Engineer – Real-Time Voice Infrastructure. Remote (U.S. Citizens or Green Card holders only) - 120k+ DOE plus Equity. Our client is also seeking a Founding AI Engineer to own the design, deployment, and . optimization of the full voice AI pipeline—from audio input to model response. This role is ideal . for someone who enjoys building low-latency systems, deploying ML at scale, and making . complex infrastructure bulletproof.. You’ll partner with researchers to take models from prototype to production and will build the . secure, high-performance stack that runs on GovCloud and edge hardware.. Key Responsibilities. ● Build and optimize a streaming speech pipeline (TTS/ASR/VAD), ensuring clean, real-. time audio playback. ● Handle audio I/O, frame stitching, jitter correction, and noise suppression. ● Package and deploy models using Docker and infrastructure-as-code (Terraform, CDK, . etc.). ● Benchmark model and system performance across latency, audio quality, and system . throughput. ● Lead secure deployment practices including VPC configuration, logging, encryption, and . patching. ● Document systems clearly and collaborate with research and product teams to evolve . the infrastructure. Minimum Qualifications. ● Strong proficiency in Python and C++. ● Experience building or maintaining real-time audio processing systems. ● Familiarity with ML model deployment in production (cloud or embedded environments). ● Comfortable using Docker and infrastructure-as-code tools to manage deployments. ● Knowledge of secure cloud environments, particularly related to logging, encryption, and. compliance. Preferred Qualifications. ● Exposure to GPU-based model serving (e.g., TorchServe, Triton Inference Server). ● Experience deploying on edge devices (Jetson, Raspberry Pi, ARM-based systems). ● Familiarity with performance benchmarking tools for audio/ML systems. ● Prior work in high-compliance environments (public safety, defense, healthcare, etc.). ● Experience with gRPC, FastAPI, or custom RPC frameworks