AI Engineer, Anti Particle, CA, US

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Role Description

This is a full-time on-site role for an AI Engineer located in San Francisco, CA. The AI Engineer will be responsible for designing, developing, and implementing AI models and algorithms. Help us push the edge of real-time conversational AI. At Anti Particle, you’ll own the full ML lifecycle—research, data pipelines, training, evaluation, deployment, and iterative optimization—to power sub-milli second, natural voice conversations at scale.

Company Description

• Ship voice AI, end-to-end: Design and productionize STT, LLM, and TTS pipelines with < 800 ms median latency and thousands of concurrent sessions.
• Optimize models for speed & cost: Apply LoRA/QLoRA, quantization, pruning, and distillation; tune decoding and caching for low-latency throughput.
• Scale inference elegantly: Build GPU-efficient serving on Kubernetes/EKS with dynamic batching, speculative decoding, streaming responses, and autoscaling.
• Measure what matters: Create objective frameworks for ASR WER, TTS MOS-like perceptual metrics, latency SLOs, task completion, and regression gates.
• Raise the bar: Lead model CI/CD, monitoring/observability, incident playbooks, and mentor teammates across ML Ops, speech, and prompt/agent design.

Core competencies

• Fine-tuning & compression: LoRA, QLoRA, RLHF/SFT, quantization (INT8/4), pruning, knowledge distillation.
• Speech stack: ASR (Whisper, NeMo, Kaldi) and TTS (Tacotron, FastSpeech, VITS/Bark-class), streaming/online decoding.
• LLMs & agents: GPT-class models, RAG, LangGraph, LangChain, MCP tools; prompt/agent safety patterns.
• Infra & Ops: Kubernetes, Helm, Terraform; MLflow or SageMaker; GPU scheduling, caching layers, feature stores.
• Data systems: Kafka, Redis, Postgres, Snowflake/S3; real-time analytics and offline batch workflows.
• Streaming protocols: gRPC, WebSockets, HTTP/2, WebRTC; backpressure and QoS in production.

Compensation & Benefits: Base salary $100,000–$160,000 DOE, plus 1–5% equity based on level and impact. We offer comprehensive medical, dental, and vision, flexible PTO, paid parental leave, a 401(k), and a learning/conference stipend. You’ll get top-tier equipment with a WFH stipend, plus commuter/relocation support for our San Francisco on-site role.